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  • Program Overview
    • Program Description
    • Program Value
    • Program Accomplishments
  • Project Highlights
    • Advanced Materials and Manufacturing
      • Accelerated Multi-Modal Manufacturing Optimization
      • Advanced Fabrication Techniques of Metal Hydrides for Science and Technology Applications
      • Advanced Manufacturing of Net-Shape Leading Edge Geometries for Hypersonic Flight
      • Advanced Quantitative Metrology and Characterization for Manufacturing
      • Automated, High-Throughput Screening of Increased Ionic Conductivity Polymer Electrolytes
      • Bespoke Gold Foams via Xerogel Templating
      • Building Materials Knowledge Models via Document Network Analysis
      • Characterizing Materials for Quantum Computing
      • Climbing over Energy Barriers: A New Paradigm for Accelerating Kinetics
      • Confined Coaxial Powder Extrusion
      • Converting Air into Ammonia via Advanced Manufactured Electrochemical Reactors
      • Developing an Understanding and Control of Electrochemical Deposition Processes for Functional Coatings on Complex Three-Dimensionally Printed Substrates
      • Development of Metastable High Entropy Alloys for Additive Manufacturing
      • Dual-Energy Phase-Contrast Computed Tomography to Improve Material Discrimination
      • Electrostatic Powder Dispenser for Additive Manufacturing Processes
      • Enabling Multi-Material Metal Additive Manufacturing Builds through Electrostatic Powder Spreading
      • Gas Bubble Management for Electrochemical Systems
      • High Energy Density Supercapacitors
      • High-Efficiency Biomimetic Three-Dimensional Membranes
      • Investigation of Scanning Droplet Cell Technology for Electrochemical Deposition of Custom Three-Dimensional Alloys
      • Large-Scale, Two-Photon, Three-Dimensional Printing Enabled by Metaoptics
      • Laser Processing of Solid-State Lithium Batteries
      • Machine Learning Design of Single-Atom Catalysts for Carbon Dioxide Reduction
      • Magnetostrictive Materials for Enhanced Sensors and Electronic Components
      • Metal-Organic Frameworks as Templates for New Materials Featuring High Complexity and Ordered Porosity
      • Mid- and High-Z Doping of High Purity, Density Tunable Amorphous Carbon Films on Complex Geometries
      • Nanofluid Laser Entrainment Additive Manufacturing
      • Novel Multi-Phase Fluidic Platforms for Chemical, Biological, and Nuclear Forensics
      • Overcoming Cycling Limitations for High-Energy-Density Lithium-Ion Batteries
      • Photonic Sintering for Granular Additive Manufacturing
      • Predicting and Controlling Corrosion
      • Prediction of Complex Metals' and Alloys’ Response to Temperature and Deformation via Handshake Between Experiments and Modeling
      • Probing the Mechanism of Hydrogen Embrittlement in Body-Centered Cubic Titanium Alloys Using Multiscale Characterization Techniques
      • Production and Testing of Architected Cermets
      • Radiation Defect Engineering in Two-Dimensional Nanomembranes
      • Rapid Design to Deployment of Tailored Alloys
      • Shape Changing of Responsive Elastomer Structures
      • Super-Strong, Micrometer-Thin Carbon Nanotube Yarns
      • Sustainable and Chemically Recyclable Photopolymers for Three-Dimensional Printing
      • The Science of Scaleup: Accelerated Scaling of Materials and Manufacturing Solutions
      • Ultrathick Boron Carbide Coatings
      • Understanding Subsurface Behavior and Defect Formation During Laser Material Interactions Via Coupled In Situ X-Ray and Optical Probes
      • Volumetric Additive Manufacturing of Glass
      • Volumetric Additive Manufacturing with Microwave Radiation
    • Bioscience and Bioengineering
      • Battling Long Coronavirus Disease 2019 in the Brain: Elucidating Mechanisms of Neural Dysfunction
      • Biological Additive Manufacturing Capabilities for Enabling Rapid Response to Emerging Pathogens
      • Bioprinting of Engineered Biofilms for Microbial Electrosynthesis
      • Bioprinting the Unprintable with Unjammed Powder Printing
      • Carbon-14-Labeled Microbes to Track the Fates of Microbial Metabolites: A Potential Technical Approach to Define the Gut-Brain Axis in Animal Models
      • Controlling Access to the Brain: Fine-Tuning Permeability of the Blood-Brain Barrier
      • Cure the Incurable: Supercharged Immune Cells to Fight Disease
      • Delivering Ribonucleic Acid Vaccines Using Nanoparticles
      • Development of Advanced Terahertz Chiroptical Spectroscopy for Biological and Chemical Security
      • Do Reprogrammed Brain Cells Hold the Key to Healing Damaged Networks After Traumatic Brain Injury?
      • Eavesdropping on Cancer: Developing Blood-Based Exosome Diagnostics
      • Engineered Human Vascular Models to Study Endothelial Dysfunction in Infectious Disease
      • Engineering a Biosynthetic Pathway for Glycolonitrile, a High Energy Material Precursor
      • Fiery Effects of Wildfire Smoke Inhalation
      • Flexible and High-Density Nerve Interface for Peripheral Neuromodulation
      • Fungal Pneumonia: Understanding Immune Vulnerabilities that Cause Valley Fever
      • High-Resolution Bioprinted Hierarchical Lung Tissue Model for Studying Respiratory Threats
      • Invisible Organ: The Next Level of Human Health and Resilience
      • Microbial Recycling of Plastic-Polymer-Bonded Rare Earth Magnets
      • Microbiome Controls on Harmful Algal Toxin Production in Lake Erie
      • Modulating Guanosine Triphosphate Hydrolysis Provides Novel Therapeutic Option to Treat Cancer and Bacterial Infections
      • Next Generation Dialysis via Exploitation of Novel Fast Diffusion through Nanoscale Pores
      • Quantitative Viral Assessments for Improved Biomonitoring
      • Rapid Fabrication of Engineered Gradient Tissue Scaffolds Using Cell-Embedded Microbeads
      • Rapid T Cell Engineering to Counter Emerging Threats
      • Revealing Molecular and Cellular Mechanisms of Microbial Pathogenesis Through Multiscale Dynamic Imaging
    • Chemical and Biological Countermeasures
      • Building a Computational and Experimental Rapid Response Pipeline to Counter the Coronavirus Disease 2019 Outbreak and Emerging Biothreats
      • Profiling Neurological Consequences and Susceptible Populations of Chronic Opioid Use
      • Rapid Computational Identification of Therapeutic Targets for Pathogens
    • Cybersecurity and Cyber-Physical Resilience
      • Exploration of In-Memory Analytics
      • FUNPAC: Firmware Updates Need Proof-Accompanied Code
      • ThornedThymus: An Adaptive Immune System for the Software Supply Chain
    • Directed Energy
      • Compact High Efficiency Electrically Tunable Amplifier (CHEETAh)
      • Foundational Advances in Refractive Index Control for Optical Fibers
      • Wireless Coordination for Distributed High-Power Microwave Sources
    • Earth and Atmospheric Science
      • A New Shallow Cumulus Cloud Detection Algorithm from Satellite and Ground-Based Data
      • Advancing Carbon Cycle Forecasts with Global Models of Soil Chemistry
      • Electrochemical Upcycling of Waste Cement: High-Performance Cement Production and Air Carbon Dioxide Removal
      • Enhanced Tunnel Detection with Multiple Sensor Technologies
      • Enhancing Precipitation Predictions with the Cloud-Associated Parameterizations Testbed using Artificial Intelligence
      • Fighting Fire with Fire: Can Traditional Native American Burning Practices Help Reduce Devastating Wildfires and Increase Soil Carbon Storage?
      • From Microbes to the Earth System – Upscaling Microbial Community Dynamics to Macro-scale Soil Carbon Models
      • High Accuracy at Low Cost: Using Machine Learning to Emulate the Department of Energy's Global Cloud-Resolving Climate Model
      • High Altitude Disturbance: An Integrated Experimental and Modeling Approach to Quantifying Turbulence and Aerosols at Hypersonic Flight Height
      • Improved Seismic Monitoring for National and Energy Security with Earth Models from Full Waveform Inversion
      • Microbe-Mediated Effects of Enhanced Rock Weathering on Soil Organic Carbon Storage
      • Multiscale Wildfire Simulation Framework and Remote Sensing
      • Opening the Black Box: Compound-Specific Radiocarbon Analysis to Determine the Drivers of Soil Carbon Persistence
      • Understanding Urban and Wildland Fire Dynamics
      • Warming Response of Regional Deep Soil Organic Carbon
    • Energy and Resource Security
      • Advanced Membranes for Electrochemical Technologies
      • Climate Resilience for National Security
      • Developing a Predictive Catalysis Framework for Upgrading Sustainable Alcohols
      • Direct Air Capture of Carbon Dioxide with Ocean Wave Energy
      • Enabling Stable Lithium Metal Anodes for Next-Generation Solid-State Batteries
      • Encoding High Specificity and Multiplexing in Nanoporous Gas Sensors
      • Ending Electrolyte Degradation in Aqueous Flow Batteries: Enabling Low-Cost Alternatives for Scalable Grid Storage
      • Exploiting Hydrogen-Induced Phase Transformations for High-Temperature Applications
      • Exploring Whether Subsurface Fluid Production can Minimize Triggered Seismicity in Geothermal Fields
      • Gallium Nitride Superjunction Fin Field Effect Transistor
      • High-Pressure Electrochemistry in Condensed Gases and Supercritical Fluids
      • Improving Durability in the Next Generation of Photovoltaic Materials Through Discovery and Mitigation of Interface-Based Degradation Mechanisms
      • Polar Branch-and-Bound Algorithm for Global Non-Convex Optimization in Energy Networks
      • Radiative Cooling of Any Sky-Facing Surface
      • Ultra-High Water Recovery Desalination with Record Thermodynamic Efficiencies
    • Forensic Science
      • Countermeasure Development for Chemical Warfare Agents through Accelerated Molecular Discovery
    • High-Energy-Density Science
      • A Kinetic Transport Model for Magnetized Radiation-Hydrodynamics
      • A New Data-Driven Standard Solar Model
      • Behavior and Utility of Flow or Turbulence in Compressing Plasma
      • Breaking Beams: A Kinetic Treatment of the Filamentation and Forward Scatter of Laser Beams in Plasma
      • Dopants for High Density Carbon
      • Driving Design with Cognitive Simulation
      • Exploring a Novel Way to Mitigate Surface Damage in Tokamaks
      • Extending Equation-of-State Measurements to Gigabar Pressures
      • Finite Temperature Structure Prediction
      • Foam Fills for Laser-Plasma Instability Suppression
      • High-Repetition-Rate Diagnostics with Integrated Active Control for a New Paradigm of High-Energy-Density Experiments
      • Inferring Heat Flow in Laser Absorption Regions using Diagnostic Magnetic Fields
      • Interatomic Potentials: A Framework for Generating Quantum-Accurate Material Models
      • Investigating the Relationship Between Microstructure and Dynamic Response Using X-Ray Free-Electron Lasers
      • Magnetically Assisted Ignition
      • Measurement of Mutual Diffusion in Warm Dense Matter
      • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
      • Plasma Transport at the Nexus of Measurement and Modeling
      • Pulsed-Plasma Sputter Deposition of Diamond-Like Carbon Ablators
      • Scalable and Accurate Simulation of Magnetized Plasmas
      • Shock Ignition in Indirect Drive: A New Approach to High Fusion Gains
      • Simulation of High-Energy-Density Plasmas Using a Novel, Fully-Implicit, Particle-in-Cell/Monte-Carlo Algorithm
      • Tailored Particle Sources Driven by Precision-Shaped Short-Pulse Laser Pulses
      • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
      • Using Nano-Structured Targets and Ultra-Intense Lasers for Nuclear Science and Source Development
    • High-Explosives Physics Chemistry and Material Science
      • Experimentally Interrogating Detonation Chemistry on Sub-Nanosecond to 100-Nanosecond Timescales
      • Towards Automated Characterization of Heterogeneous Materials: A Case Study Using X-ray Absorption Spectroscopy of Detonation Products
      • Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic X-Ray Diffraction
    • High-Performance Computing Simulation and Data Science
      • Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation
      • Active Learning for Rapid Design of Vaccines and Antibodies
      • Adaptive Sampling for Risk-Averse Design and Optimization
      • An Experimentally Validated Synergistic Membrane Model
      • Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
      • Automated Software Integration
      • Autonomous MultiScale: Embedded Machine Learning for Smart Simulations
      • Beating Monte Carlo: The Polynomial Method in Lattice Problems
      • Cross-Scale Modeling for Component Scale Simulations
      • Decentralized Autonomous Networks for Cooperative Estimation
      • Decision Superiority
      • Deep Facial Representation for Quantification of Emotion Dynamics
      • DENAS: Deep Neuroevolution at Scale
      • Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation
      • Efficient High-Frequency Time-Harmonic Wave Propagation Solvers Using Discontinuous Petrov-Galerkin Methods
      • Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations
      • Hierarchical, Multimodel, Multiscale Parallel-In-Time
      • High-Performance Computing Force Multiplier: Leading the Way for Extreme-Scale Converged Computing
      • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
      • Improving Extrapolation Behavior in Deep Neural Networks
      • Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales
      • Knowledge-Driven Machine Learning
      • Large-Scale Shape Optimization with Conformal Meshes
      • Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction
      • Modeling Complex Behavior of Lattices to Enable Multiscale Design
      • Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction
      • Optimal High-Order Solvers
      • Probabilistic Models for Dynamic Hypergraphs with Content
      • Reliable Decentralized Solvers in Unreliable Computing Environments
      • Robust Control of Scientific Simulations with Deep Reinforcement Learning
      • Safe and Trustworthy Machine Learning
      • Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing
      • Virtual Inspections: Fast and Intuitive Inspections of Manufactured Parts in Virtual Reality
      • Zeroth-Order Machine Learning for Flexible Integration of Domain Knowledge
    • Hypersonics
    • Lasers and Optical Science and Technology
      • Additively Manufactured Neodymium-Doped Strontium-Fluoride Ceramic Gain Medium
      • Agile Mixing Platform Engineered for Transient Compositional Printing
      • Arbitrary Space-Variant Polarization Control for Large Aperture, High-Energy Lasers
      • Beam-Combined Pulsed Fiber Lasers
      • Defects Suppression in Process-Optimized High Power and Energy Multilayer Dielectric Coated Optics
      • Designing Damage-Resistant Multilayer Dielectric Gratings for Petawatt-Class Lasers
      • Exploring the Cosmos: Enabling One Thousand Times More Sensitive Spectrographs for Exoplanet Search
      • Freeform Optics
      • Glass Preforms for Next-Generation Fiber Lasers
      • Glass-Engraved Meta-Optics for High-Power Lasers
      • Ionization-Based Optical Structures for the Control of Short-Pulse Lasers
      • Laser Amplification with Suppressed Amplified Spontaneous Emission
      • Long Pulse Laser-Driven Shock-Induced Damage in Metals
      • Modelocked Oscillator with Planar Gaussian Optics
      • Next-Generation Beam Quality for Deployed Laser Systems
      • Post-Chirped-Pulse-Amplification Pulse Compression for High Energy Laser Systems
      • Predicting Damage Growth using Multimode Characterization and Machine Learning
      • Programmable Time-Varying Spectral Encoding for Advanced Control of High-Energy, High-Power Laser Systems
      • Revisiting the Critical Physics for Passing Energetic Laser Pulses through Air
      • Robust High-Power Diodes for Next Generation Laser Systems
      • Spectral Shaping by Phase-Modulated, Picosecond-Pumped, Optical Parametric Chirped-Pulse Amplification
      • Ultrafast Operation of High-Average-Power, High-Energy Thulium Lasers
      • Ultrafast Plasma Optics for High-Power Coherent Light Sources
      • Ultrawide Bandgap Laser Addressable Photoconductors
    • Nuclear Chemical and Isotopic Science and Technology
      • A Search for Sterile Neutrino Dark Matter
      • Addressing Unresolved Questions About the Solar System with New Lunar Samples from the Apollo Missions
      • Advanced Manufacturing of Novel Oxide Composites for Reusable Leading Edges
      • Bead Fabrication for Extreme Environment Analysis Development
      • Cosmogenic Tracers to Reveal the Sensitivity of Groundwater-Dependent Ecosystems to Changing Climate
      • Deciphering Fingerprints of Stellar Nucleosynthesis Through Nuclear Reaction Rate Measurements and Isotopic Analyses of Stardust
      • Dense Plasma Focus Neutron Source for Nuclear Forensics
      • Development of a Novel Neutron Source for Next-Generation Neutron Scattering Experiments
      • Earth’s Leaky Core: Identifying Signatures of Core Materials in the Lithosphere
      • Fission with Exotic Nuclei
      • How Rapid is the Rapid Neutron Capture Process?
      • Hunting Sub-gigaelectron-volt Dark Matter with Diamonds and Magnetic Microcalorimeters
      • Laying the Foundation for a Nuclear Reactions Program using Rare Ion Beams and Artificial Intelligence
      • Local Energy Matter Interactions and Materials Response in Hypersonic Environments
      • Noble Gas Cosmochemistry
      • Nuclear Analytics: Enabling New Multimodal Approaches to Nuclear Threat Detection
      • Nuclear Detective Work in the Early Universe: The Mysterious Origin of Protein-Rich Stable Nuclei
      • Predictive Ternary Reactions for Stellar Nucleosynthesis
      • Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
      • Redefining the Geologic Timescale of the Solar System by Accurately Determining the Half-Life of Samarium-146 with Magnetic Microcalorimeters
      • Reverse-Engineering the Neutron-Nucleus Interaction
      • The Incredible Shrinking Proton
      • The Nuclear Science of Asteroid 16 Psyche
      • Understanding Angular Momentum in Nuclear Fission
    • Nuclear Threat Reduction
      • Developing Compositional Control During Additive Manufacturing of Surrogate Debris Reference Materials and Microanalytical Standards
      • Development of the Uranium-236, Uranium-238 Signature for Pre-Detonation Nuclear Forensics
      • Generating Fallout-Like Particles by Improving an Existing Setup
      • Narcissus-Enabled Compact Thermal Hyperspectral Imager
      • Nuclear Resonance Transmission Analysis Using a Vehicle-Portable Source
      • Solid-State Gamma-Ray Detection Using Quantum Dots
      • The Next Frontiers in Rare-Event Detection for Science and Security
      • Toward a Predictive Exascale-Class Hypersonic Simulation Capability for Damage Lethality Assessment and Weapons Environment Characterization
    • Nuclear Weapons Science
      • Accelerated Materials Simulations with Deep Neural Networks
      • Development of a Multidimensional, Holographic Velocity Interferometer System
      • Fission Experiments in Laser-Generated Plasmas
      • Impact of Two-Micron Laser Wavelength on High-Energy-Density Applications and Diagnostics
      • Inferring Mix and Hot-Spot Conditions from Spectroscopic Measurements with Machine Learning
      • Next-Generation Short-Pulse Laser-Driven Neutron Sources for Multimodal Radiography
      • Project DarkStar: Controlling Material Deformation
      • Sirius Mini: A Prototype Disruptive Accelerator Architecture for Next-Generation Inertial Confinement Fusion Systems
    • Quantum Science and Technology
      • New Qubit Geometries with Minimal Participation of Dielectric in Resonant Modes
      • Novel Frequency Tunable Systems for Superconducting Cavities
      • Nuclear Dynamics on a Quantum Chip
      • Radiofrequency-Photonic Control Interface for Scalable, High Speed Quantum Computing
      • Scalable Quantum Optimal Control
      • Topological Materials for Quantum Computing
    • Space Security
      • A New Dark Matter and Early Universe Grand Science Campaign
      • Asteroid Science in the Era of the Large Synoptic Survey Telescope
      • Data On-Demand for Capable Space Domain Awareness Architecture
      • Fifty-Centimeter Monolithic Space Telescopes
      • Non-Stationary Gaussian Processes at High-Performance Computing Scales for the Space Domain
      • Observing Atmospheric Gravity Waves from Space
      • Revealing the Physics of the Hot and Energetic Universe via Single-Photon-Counting Advanced X-Ray Microcalorimeter Systems
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      • Stockpile Stewardship Science
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      • High-Energy-Density Science
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  • Program Overview
  • Project Highlights
  • Archives
    • FY2021
      • Program Overview
        • Program Accomplishments
        • Program Description
        • Program Value
      • Project Highlights
        • Advanced Materials and Manufacturing
          • A New Science-Based Paradigm Enabling Microstructure-Tailored Additive Manufacturing of Metals
          • Accelerated Multi-Modal Manufacturing Optimization
          • Accelerating Feedstock Optimization Using Computer Vision, Machine Learning, and Data Analysis Techniques
          • Acoustic and Electromagnetic Characterization for Accelerated Development of Additive Manufacturing
          • Advanced Alloys for Emerging Challenges
          • Advanced Manufacturing of Net-Shape Leading Edge Geometries for Hypersonic Flight
          • Advanced Photopolymer Materials Engineering for Multiscale Additive Fabrication
          • Advanced Quantitative Metrology and Characterization for Manufacturing
          • Bespoke Gold Foams via Xerogel Templating
          • Characterizing Materials for Quantum Computing
          • Climbing over Energy Barriers: A New Paradigm for Accelerating Kinetics
          • Developing an Understanding and Control of Electrochemical Deposition Processes for Functional Coatings on Complex Three-Dimensionally Printed Substrates
          • Development of Magnetic Nanostructures and Their Composites for Efficacious and Lightweight Millimeter Wave Absorbers
          • Development of Metastable High Entropy Alloys for Additive Manufacturing
          • Dual Wavelength Negative Imaging Digital Light Processing Stereo Lithographic Apparatus
          • Dynamic Polymer Networks for On Demand Degradable Adhesives, Scaffolds, and Templates
          • Electrostatic Powder Dispenser for Additive Manufacturing Processes
          • Exascale-Ready Modeling to Predict Recrystallization in High-Temperature Materials
          • Glass Inks for Three-Dimensional Printed Fiber Preforms and Telescope Optics
          • High Energy Density Supercapacitors
          • High-Resolution Three-Dimensional Imaging via X-Ray Reflectometry and Phase-Contrast Computed Tomography
          • Hydrogen Embrittlement-Resistant High-Entropy Alloys with High Strength and Ductility
          • Laser Processing of Solid-State Lithium Batteries
          • Lattice Reinforced Cermet Materials
          • Magnetostrictive Materials for Enhanced Sensors and Electronic Components
          • Materials with Embedded Microstructural Logic
          • Metal-Organic Frameworks as Templates for New Materials Featuring High Complexity and Ordered Porosity
          • Mid- and High-Z Doping of High Purity, Density Tunable Amorphous Carbon Films on Complex Geometries
          • Nanofluid Laser Entrainment Additive Manufacturing
          • Overcoming Cycling Limitations for High-Energy-Density Lithium-Ion Batteries
          • Parallel Two-Photon Lithography Using a Metalens Array
          • Pattern Formation in Concurrent Multiscale Simulation: A Breakthrough in Understanding Metal Behavior
          • Porous Metals via Ice Templating
          • Predicting and Controlling Corrosion
          • Prediction of Complex Metals' and Alloys' Response to Temperature and Deformation via Handshake Between Experiments and Modeling
          • Probing the Mechanism of Hydrogen Embrittlement in Body-Centered Cubic Titanium Alloys Using Multiscale Characterization Techniques
          • Shape Changing of Responsive Elastomer Structures
          • Super-Strong, Micrometer-Thin Carbon Nanotube Yarns
          • Surface Modification of High Explosives
          • Toward Wearable Artificial Intelligence: Flexible Nanocrystal Memristors That Mimic Multilevel Synaptic Functions
          • Transforming Living Materials into Chemical Reactors
          • Ultrasound-Enabled Advanced Manufacturing of Polymers
          • Ultrathick Boron Carbide Coatings
          • Understanding Subsurface Behavior and Defect Formation During Laser Material Interactions Via Coupled In Situ X-Ray and Optical Probes
          • Why Do Polymers Turn Yellow? Monitoring Polymer Aging with Time-Resolved Photoluminescence
        • Bioscience and Bioengineering
          • A Deep Bayesian Active Learning Framework for Temporal Multimodal Data
          • Antibacterial Minerals: A Geochemical Approach to Combating Antibiotic Resistance
          • Biological Additive Manufacturing Capabilities for Enabling Rapid Response to Emerging Pathogens
          • Bioprinting Breast Cancer In Situ to Study Cell Communication in Disease Progression
          • Bioprinting of Engineered Biofilms for Microbial Electrosynthesis
          • Bioprinting the Unprintable with Unjammed Powder Printing
          • Boot Camp Bugs: Microbiomes of US Infantry Trainees
          • Can High-Throughput Assays Identify Microbes That Degrade Polyethylene Plastics?
          • Delivering Ribonucleic Acid Vaccines Using Nanoparticles
          • Direct Visualization of Structural Maintenance of Chromosomes by Protein-Mediated Loop Extrusion Using High-Speed Atomic Force Microscopy
          • Do Reprogrammed Brain Cells Hold the Key to Healing Damaged Networks After Traumatic Brain Injury?
          • Eavesdropping on Cancer: Developing Blood-Based Exosome Diagnostics
          • Engineered and Instrumented Three-Dimensional Tumor-Immune Model System
          • Engineering Human Vascular Beds to Study Endothelial Susceptibility to the Coronavirus Disease 2019
          • Flexible and High-Density Nerve Interface for Peripheral Neuromodulation
          • Incorporation of Carbon Electrodes on Flexible Microelectrode Arrays
          • Longitudinal Monitoring of Ribonucleic Acid Content of a Live Cell with a Nanotube Pore Interface
          • Microbiome Controls on Harmful Algal Toxin Production in Lake Erie
          • Quantitative Viral Assessments for Improved Biomonitoring
          • Revealing Molecular and Cellular Mechanisms of Microbial Pathogenesis Through Multiscale Dynamic Imaging
          • Stable Isotope Probing and Viromics: Quantifying Virus-Host and Carbon Cycling Dynamics in Soil with Isotope-Targeted Metagenomics
          • Three-Dimensional Bioprinted Aneurysm for Intervention Modeling Validation
          • Using High-Dimensional Omics Data to Identify Therapeutic Strategies for Promoting Tissue Repair and Regeneration
        • Chemical and Biological Countermeasures
          • Building a Computational and Experimental Rapid Response Pipeline to Counter the Coronavirus Disease 2019 Outbreak and Emerging Biothreats
          • Construction of Genetic Sense-and-Respond Modules to Detect Viral Infection
          • Engineering Yeast Biosensors for Pathogen Detection
          • Identifying Potential Antiviral Small Molecules Against the Coronavirus Disease 2019
          • Profiling Neurological Consequences and Susceptible Populations of Chronic Opioid Use
          • Quantum Cascade Lasers with Submicrosecond Tuning Speed for the Detection of High Explosives and Chemical Warfare Agents
          • Rapid Computational Identification of Therapeutic Targets for Pathogens
          • Vaccination on the Fly: The Use of Mosquitoes to Vaccinate Bat Populations That Harbor Human Pathogens
        • Cybersecurity and Cyber-Physical Resilience
          • Exploration of In-Memory Analytics
          • FUNPAC: Firmware Updates Need Proof-Accompanied Code
          • Generating Host-Based Data using Machine Learning
          • Industrial Control Systems Network Mapping and Data Analytics for Cybersecurity
          • Measuring the Efficacy of Black-Box Attacks against Autonomous Reinforcement-Learning-based Cybersecurity Tools FY21
        • Directed Energy
          • Compact High Efficiency Electrically Tunable Amplifier (CHEETAh)
          • Scalable Computational Tools for Predicting Fluid-Structure Interactions in Laser Directed Energy Applications
        • Earth and Atmospheric Science
          • Dating Alluvial Landforms to Understand the Role of Climate in California's Water Supply
          • Deeply Rooted: Evaluating Plant Rooting Depth as a Means for Enhanced Soil Carbon Sequestration
          • Electrochemical Upcycling of Waste Cement: High-Performance Cement Production and Air Carbon Dioxide Removal
          • From Microbes to the Earth System: Upscaling Microbial Community Dynamics to Macro-scale Soil Carbon Models
          • High Altitude Disturbance: An Integrated Experimental and Modeling Approach to Quantifying Turbulence and Aerosols at Hypersonic Flight Height
          • Improved Seismic Monitoring for National and Energy Security with Earth Models from Full Waveform Inversion
          • Interseasonal Prediction of Western United States Snowpack with Deep Learning
          • Opening the Black Box: Compound-Specific Radiocarbon Analysis to Determine the Drivers of Soil Carbon Persistence
          • The Feasibility of Using Large Ensembles to Identify Human Influence on the Seasonal Cycle of Atmospheric Temperature
          • Understanding Carbon Accumulation Below Ground and the Role of Nutrients Under Rising Carbon Dioxide Levels
          • Understanding Urban and Wildland Fire Dynamics
          • Warming Response of Regional Deep Soil Organic Carbon
        • Energy and Resource Security
          • Advanced Membranes for Electrochemical Technologies
          • Encoding High Specificity and Multiplexing in Nanoporous Gas Sensors
          • Engineering Phase Transformations in Metal Hydrides for High-Temperature Energy Storage
          • Exploring Whether Subsurface Fluid Production can Minimize Triggered Seismicity in Geothermal Fields
          • Fiber Optic System for Direct Detection of Carbon Dioxide Leakage in Carbon Storage Wells
          • Gallium Nitride Superjunction Fin Field Effect Transistor
          • High-Flux Electrochemical Synthesis of Ammonia in Ionic Liquid
          • High-Pressure Electrochemistry in Condensed Gases and Supercritical Fluids
          • Improving Durability in the Next Generation of Photovoltaic Materials Through Discovery and Mitigation of Interface-Based Degradation Mechanisms
          • Manufacturing Molecules for the Carbon Economy
          • Per- and Polyfluoroalkyl Substances Removal from Water by Plasmonic-Photocatalysis
          • Radiative Cooling of Any Sky-Facing Surface
          • Regeneration of Carbon Dioxide Sorbents by Joule Heating: Improving Energy Efficiency and Net Carbon in Direct Air Capture
          • Support-Free Adsorbents for Intensification of Carbon Dioxide Capture from the Air
          • Transfer of Deep Reinforcement Learning from Simulation to the Road to Reduce Automotive Fuel Consumption
        • Forensic Science
          • Gold Nanomeshes for Passive Aerosol Capture
          • Improving the Analysis of Fentanyl and Related Synthetic Opioids: Alternate Derivatization Approaches for their Enhanced Detection by Gas Chromatography-Mass Spectrometry
          • Machine Learning-driven Mass Spectrometric Methods for the Screening of Emergent Threats
        • High-Energy-Density Science
          • A Short-Pulse, Laser-Driven Neutron Source for Stockpile Stewardship Science
          • Accurate Temperature Determination from X-Ray Diffraction and X-Ray Absorption Measurements
          • Active Activation Diagnostics for High Energy X-ray and Neutron Measurements
          • An Ultrafast View of Multiscale Plasticity
          • Behavior and Utility of Flow or Turbulence in Compressing Plasma
          • Capturing a New State of Matter: Relativistic Electron-Positron Plasma
          • Dopants for High Density Carbon
          • Driving Design with Cognitive Simulation
          • Establishing a Laser-Driven Megaelectronvolt X-Ray and Neutron Radiographic Capability
          • Exploring a Novel Way to Mitigate Surface Damage in Tokamaks
          • Exploring the Use of Magnetorheological Fluid Technology to Generate Optical Vortex Beams
          • Foam Fills for Laser-Plasma Instability Suppression
          • High-Repetition-Rate Diagnostics with Integrated Active Control for a New Paradigm of High-Energy-Density Experiments
          • Inferring Heat Flow in Laser Absorption Regions using Diagnostic Magnetic Fields
          • Interatomic Potentials: A Framework for Generating Quantum-Accurate Material Models
          • Investigating the Relationship Between Microstructure and Dynamic Response Using X-Ray Free-Electron Lasers
          • Laser-Plasma Interactions in Magnetized Environments
          • Magnetically Assisted Ignition
          • Measurement of Mutual Diffusion in Warm Dense Matter
          • Metal Ejecta: Transport, Interaction, and Recollection
          • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
          • Plasma Transport at the Nexus of Measurement and Modeling
          • Probing Liquid Phases and f-Electron Systems at the Dynamic Compression Sector
          • Scalable and Accurate Simulation of Magnetized Plasmas
          • Simulation of High-Energy-Density Plasmas Using a Novel, Fully-Implicit, Particle-in-cell/Monte-Carlo Algorithm
          • Tailored Particle Sources Driven by Precision-Shaped Short-Pulse Laser Pulses
          • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
          • Using Nano-Structured Targets and Ultra-Intense Lasers for Nuclear Science and Source Development
          • X-Ray Optics Solutions for Studying Mesoscale Science
        • High-Explosives Physics Chemistry and Material Science
          • Experimentally Interrogating Detonation Chemistry on Sub-nanosecond to 100-nanosecond Timescales
          • Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic X-Ray Diffraction
          • Unlocking the Mysteries of High-Explosive Science
        • High-Performance Computing Simulation and Data Science
          • Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation
          • Active Learning for Rapid Design of Vaccines and Antibodies
          • Advanced Physics Models for Particle-to-Particle Interactions
          • An Experimentally Validated Synergistic Membrane Model
          • Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
          • Automated Software Integration
          • Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids
          • Beating Monte Carlo: The Polynomial Method in Lattice Problems
          • Cross-Scale Modeling for Component Scale Simulations
          • DENAS: Deep Neuroevolution at Scale
          • Decentralized Autonomous Networks for Cooperative Estimation
          • Efficient Reduced-Order Models for Multi-Physics Simulations
          • Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations
          • Heterogeneous Computing Elements: A Quantitative Evaluation
          • High-Performance Parallel Simulations for Whole-Cell Modeling
          • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
          • Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales
          • Knowledge-Driven Machine Learning
          • Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction
          • MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments
          • Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction
          • Modeling Complex Behavior of Lattices to Enable Multiscale Design
          • Next Generation Machine Learning
          • Optimal High-Order Solvers
          • Probabilistic Models for Dynamic Hypergraphs with Content
          • Reliable Linear Solvers in Unreliable Computing Environments
          • Robust Control of Scientific Simulations with Deep Reinforcement Learning
          • Safe and Trustworthy Machine Learning
          • Scalable Motif-Driven Parallel Generative Adversarial Net for Community Detection
          • Scalable Multilevel Training of Large Neural Networks
          • Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing
          • The Applicability of Unit Systems to High-Performance Computing Applications
          • Using a Compressed Format for Floating-Point Data as a Data Type to Create Adaptive-Precision Compressed Arrays
        • Lasers and Optical Science and Technology
          • Beam-Combined Pulsed Fiber Lasers
          • Defects Suppression in Process-Optimized High Power and Energy Multilayer Dielectric Coated Optics
          • Energy Scaling of Thin-Disk Lasers
          • Exploring Fabrication of Ultra-low Absorption, Multilayer, Hafnium High Reflectors
          • Extending the Reach of Extreme Ultraviolet Instruments: A New Method for Measuring the Refractive Index of Materials
          • Freeform Optics
          • Germanium Photodiode Arrays for Hard X-Ray Imaging
          • Gestalt Optics: Three-Dimensional Transparent Ceramics
          • Glass Preforms for Next-Generation Fiber Lasers
          • Glass-Engraved Meta-Optics for High-Power Lasers
          • High-Energy Advanced Thermal Performance
          • Ionization-Based Optical Structures for the Control of Short-Pulse Lasers
          • Local Energy Matter Interactions and Materials Response in Hypersonic Environments
          • Modelocked Oscillator with Planar Gaussian Optics
          • Next-Generation Beam Quality for Deployed Laser Systems
          • Plasma Photonics: Manipulating Light Using Plasmas
          • Programmable Time-Varying Spectral Encoding for Advanced Control of High-Energy, High-Power Laser Systems
          • Revisiting the Critical Physics for Passing Energetic Laser Pulses through Air
          • Robust High-Power Diodes for Next Generation Laser Systems
          • The Physics of Confined Laser Ablation and Its Applications
          • Thulium-Doped Yttrium Lithium Fluoride High-Energy Laser Demonstrator
          • Ultrafast Operation of High-Average-Power, High-Energy Thulium Lasers
          • Ultrafast Plasma Optics for High-Power Coherent Light Sources
        • Nuclear Chemical and Isotopic Science and Technology
          • A Search for Sterile Neutrino Dark Matter
          • Addressing Unresolved Questions About the Solar System with New Lunar Samples from the Apollo Missions
          • Beta Decay at the Limits of Nuclear Stability: Integrating Ab Initio Calculations and Kinematically Complete Measurements
          • Constraining the Habitability of Mars When Water Flowed on Its Surface
          • Constraining the Origin of Earth’s Water with Isotope Tracers in Astromaterials
          • Cosmogenic Tracers to Reveal the Sensitivity of Groundwater-Dependent Ecosystems to Changing Climate
          • Deciphering Fingerprints of Stellar Nucleosynthesis Through Nuclear Reaction Rate Measurements and Isotopic Analyses of Stardust
          • Development of Novel Ligand-Based Systems to Study the Chemical Properties of the Transactinides
          • Earth’s Leaky Core: Identifying Signatures of Core Materials in the Lithosphere
          • Elusive Actinium: A First Glimpse into the Coordination Chemistry of Element 89
          • Fission with Exotic Nuclei
          • Fission-Product Decay Studies at the Facility for Rare Isotope Beams Decay Station
          • How Rapid is the Rapid Neutron Capture Process?
          • Identifying the Influence of Environmental Effects on Post-Detonation Chemistry and Debris Formation
          • Investigating the Site of the Weak Rapid Neutron Capture Process
          • Microresonators for Compact Optical Sensors
          • Nuclear Analytics: Enabling New Multimodal Approaches to Nuclear Threat Detection
          • Nuclear Reaction Theory for Astrophysics and Laboratory Applications
          • Nuclear Reaction Theory in the Precision Era: Probing New Physics in the Early Universe
          • Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
          • Proliferation of Interstellar Plutonium into the Solar System
          • Redefining the Geologic Timescale of the Solar System by Accurately Determining the Half-Life of Samarium-146 with Magnetic Microcalorimeters
          • Reverse-Engineering the Neutron-Nucleus Interaction
          • The Incredible Shrinking Proton
          • The Next Breakthroughs in Neutrino Physics
          • The Nuclear Science of Asteroid 16 Psyche
          • Two Nucleon Interactions and Their Effect on the Visible Universe and the Dark Universe
          • Ultrahigh-Resolution X-Ray Spectroscopy Using Cyclotron Radiation Emission
          • Understanding Angular Momentum in Nuclear Fission
          • Using Isotope Probing of Microbe-to-Microbe Interactions to Determine the Fate of Carbon and Impacts on Climate Change
          • Using Moderately Volatile Elements to Understand the Origin of the Earth-Moon System
          • Utilizing Radioactive Isotopes Harvested at the Facility for Rare Isotope Beams for Neutron-Reaction Measurements
        • Nuclear Threat Reduction
          • Compact Readout for an Intelligent Segmented Autonomous Neutron Directional Detector
          • Deployable, Automated Chemistry-on-a-Chip Platform for Nuclear Forensics
          • Developing Compositional Control During Additive Manufacturing of Surrogate Debris Reference Materials and Microanalytical Standards
          • Development of the Uranium-236, Uranium-238 Signature for Pre-Detonation Nuclear Forensics
          • Modeling Nuclear Cloud Rise and Fallout in Complex Environments
          • Narcissus-Enabled Compact Thermal Hyperspectral Imager
          • Nuclear Resonance Transmission Analysis Using a Vehicle-Portable Source
          • Optimal Giant Detectors
          • The Next Frontiers in Rare-Event Detection for Science and Security
          • Toward a Predictive Exascale-Class Hypersonic Simulation Capability for Damage Lethality Assessment and Weapons Environment Characterization
        • Nuclear Weapons Science
          • Development of a Multidimensional, Holographic Velocity Interferometer System
          • Fission Experiments in Laser-Generated Plasmas
          • Laser-on-Wheels: A Study to Determine Feasibility
          • On-Demand Deterministic Entangled Photon Source
          • Project DarkStar: Controlling Material Deformation
          • Sirius Mini: A Prototype Disruptive Accelerator Architecture for Next-Generation Inertial Confinement Fusion Systems
        • Quantum Science and Technology
          • Expanding Control of Quantum Processor Units
          • Nuclear Dynamics on a Quantum Chip
          • Quantum Computing with Trapped Electrons
          • Radiofrequency-Photonic Control Interface for Scalable, High Speed Quantum Computing
          • Scalable Quantum Optimal Control
          • Single Photon Emission from Vanadium Defects in Silicon Carbide
          • Topological Materials for Quantum Computing
        • Space Security
          • Asteroid Science in the Era of the Large Synoptic Survey Telescope
          • Multivariate Gaussian Process Surrogate Models in High Dimensions
          • Observing Atmospheric Gravity Waves from Space
          • Revealing the Physics of the Hot and Energetic Universe via Single-Photon-Counting Advanced X-Ray Microcalorimeter Systems
          • Tunable Optoelectronic Materials for Next-Generation Infrared Detectors
    • FY2020
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    • FY2015
      • Science and Technology on a Mission
      • Overview
      • Advanced Materials and Manufacturing
      • Bioscience and Bioengineering
      • Chemical and Biological Security
      • Cyber Security, Space, and Intelligence
      • Energy and Climate Security
      • High-Energy-Density Science
      • High-Performance Computing, Simulation, and Data Science
      • Inertial Fusion Science and Technology
      • Lasers and Optical Science and Technology
      • Nuclear, Chemical, and Isotopic Science and Technology
      • Stockpile Stewardship Science
        • A Dense-Plasma Focus Device as a Compact Neutron Source
        • Advanced Double-Shell Target Designs for Inertial Fusion Energy
        • Application of Imposed Magnetic Fields to Ignition and Thermonuclear Burn at the National Ignition Facility
        • Application-Driven Research into Multiscale Modeling of Laser––Plasma Interactions
        • Multiframe, Single Line-of-Sight X-Ray Imager for Burning Plasmas
        • Precision Gamma-Ray Signatures for Long-Lived Radioactive Nuclei
        • Self-Consistent, Three-Dimensional Calculations of Electromagnetic Pulse Propagation
        • Single-Shock Platform for Activation Studies with a Prompt Source of Fast Neutrons
        • Transport and the Equation of State for Asymmetric Plasma Mixtures
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Archives
  • FY2021
    • Program Overview
      • Program Accomplishments
      • Program Description
      • Program Value
    • Project Highlights
      • Advanced Materials and Manufacturing
        • A New Science-Based Paradigm Enabling Microstructure-Tailored Additive Manufacturing of Metals
        • Accelerated Multi-Modal Manufacturing Optimization
        • Accelerating Feedstock Optimization Using Computer Vision, Machine Learning, and Data Analysis Techniques
        • Acoustic and Electromagnetic Characterization for Accelerated Development of Additive Manufacturing
        • Advanced Alloys for Emerging Challenges
        • Advanced Manufacturing of Net-Shape Leading Edge Geometries for Hypersonic Flight
        • Advanced Photopolymer Materials Engineering for Multiscale Additive Fabrication
        • Advanced Quantitative Metrology and Characterization for Manufacturing
        • Bespoke Gold Foams via Xerogel Templating
        • Characterizing Materials for Quantum Computing
        • Climbing over Energy Barriers: A New Paradigm for Accelerating Kinetics
        • Developing an Understanding and Control of Electrochemical Deposition Processes for Functional Coatings on Complex Three-Dimensionally Printed Substrates
        • Development of Magnetic Nanostructures and Their Composites for Efficacious and Lightweight Millimeter Wave Absorbers
        • Development of Metastable High Entropy Alloys for Additive Manufacturing
        • Dual Wavelength Negative Imaging Digital Light Processing Stereo Lithographic Apparatus
        • Dynamic Polymer Networks for On Demand Degradable Adhesives, Scaffolds, and Templates
        • Electrostatic Powder Dispenser for Additive Manufacturing Processes
        • Exascale-Ready Modeling to Predict Recrystallization in High-Temperature Materials
        • Glass Inks for Three-Dimensional Printed Fiber Preforms and Telescope Optics
        • High Energy Density Supercapacitors
        • High-Resolution Three-Dimensional Imaging via X-Ray Reflectometry and Phase-Contrast Computed Tomography
        • Hydrogen Embrittlement-Resistant High-Entropy Alloys with High Strength and Ductility
        • Laser Processing of Solid-State Lithium Batteries
        • Lattice Reinforced Cermet Materials
        • Magnetostrictive Materials for Enhanced Sensors and Electronic Components
        • Materials with Embedded Microstructural Logic
        • Metal-Organic Frameworks as Templates for New Materials Featuring High Complexity and Ordered Porosity
        • Mid- and High-Z Doping of High Purity, Density Tunable Amorphous Carbon Films on Complex Geometries
        • Nanofluid Laser Entrainment Additive Manufacturing
        • Overcoming Cycling Limitations for High-Energy-Density Lithium-Ion Batteries
        • Parallel Two-Photon Lithography Using a Metalens Array
        • Pattern Formation in Concurrent Multiscale Simulation: A Breakthrough in Understanding Metal Behavior
        • Porous Metals via Ice Templating
        • Predicting and Controlling Corrosion
        • Prediction of Complex Metals' and Alloys' Response to Temperature and Deformation via Handshake Between Experiments and Modeling
        • Probing the Mechanism of Hydrogen Embrittlement in Body-Centered Cubic Titanium Alloys Using Multiscale Characterization Techniques
        • Shape Changing of Responsive Elastomer Structures
        • Super-Strong, Micrometer-Thin Carbon Nanotube Yarns
        • Surface Modification of High Explosives
        • Toward Wearable Artificial Intelligence: Flexible Nanocrystal Memristors That Mimic Multilevel Synaptic Functions
        • Transforming Living Materials into Chemical Reactors
        • Ultrasound-Enabled Advanced Manufacturing of Polymers
        • Ultrathick Boron Carbide Coatings
        • Understanding Subsurface Behavior and Defect Formation During Laser Material Interactions Via Coupled In Situ X-Ray and Optical Probes
        • Why Do Polymers Turn Yellow? Monitoring Polymer Aging with Time-Resolved Photoluminescence
      • Bioscience and Bioengineering
        • A Deep Bayesian Active Learning Framework for Temporal Multimodal Data
        • Antibacterial Minerals: A Geochemical Approach to Combating Antibiotic Resistance
        • Biological Additive Manufacturing Capabilities for Enabling Rapid Response to Emerging Pathogens
        • Bioprinting Breast Cancer In Situ to Study Cell Communication in Disease Progression
        • Bioprinting of Engineered Biofilms for Microbial Electrosynthesis
        • Bioprinting the Unprintable with Unjammed Powder Printing
        • Boot Camp Bugs: Microbiomes of US Infantry Trainees
        • Can High-Throughput Assays Identify Microbes That Degrade Polyethylene Plastics?
        • Delivering Ribonucleic Acid Vaccines Using Nanoparticles
        • Direct Visualization of Structural Maintenance of Chromosomes by Protein-Mediated Loop Extrusion Using High-Speed Atomic Force Microscopy
        • Do Reprogrammed Brain Cells Hold the Key to Healing Damaged Networks After Traumatic Brain Injury?
        • Eavesdropping on Cancer: Developing Blood-Based Exosome Diagnostics
        • Engineered and Instrumented Three-Dimensional Tumor-Immune Model System
        • Engineering Human Vascular Beds to Study Endothelial Susceptibility to the Coronavirus Disease 2019
        • Flexible and High-Density Nerve Interface for Peripheral Neuromodulation
        • Incorporation of Carbon Electrodes on Flexible Microelectrode Arrays
        • Longitudinal Monitoring of Ribonucleic Acid Content of a Live Cell with a Nanotube Pore Interface
        • Microbiome Controls on Harmful Algal Toxin Production in Lake Erie
        • Quantitative Viral Assessments for Improved Biomonitoring
        • Revealing Molecular and Cellular Mechanisms of Microbial Pathogenesis Through Multiscale Dynamic Imaging
        • Stable Isotope Probing and Viromics: Quantifying Virus-Host and Carbon Cycling Dynamics in Soil with Isotope-Targeted Metagenomics
        • Three-Dimensional Bioprinted Aneurysm for Intervention Modeling Validation
        • Using High-Dimensional Omics Data to Identify Therapeutic Strategies for Promoting Tissue Repair and Regeneration
      • Chemical and Biological Countermeasures
        • Building a Computational and Experimental Rapid Response Pipeline to Counter the Coronavirus Disease 2019 Outbreak and Emerging Biothreats
        • Construction of Genetic Sense-and-Respond Modules to Detect Viral Infection
        • Engineering Yeast Biosensors for Pathogen Detection
        • Identifying Potential Antiviral Small Molecules Against the Coronavirus Disease 2019
        • Profiling Neurological Consequences and Susceptible Populations of Chronic Opioid Use
        • Quantum Cascade Lasers with Submicrosecond Tuning Speed for the Detection of High Explosives and Chemical Warfare Agents
        • Rapid Computational Identification of Therapeutic Targets for Pathogens
        • Vaccination on the Fly: The Use of Mosquitoes to Vaccinate Bat Populations That Harbor Human Pathogens
      • Cybersecurity and Cyber-Physical Resilience
        • Exploration of In-Memory Analytics
        • FUNPAC: Firmware Updates Need Proof-Accompanied Code
        • Generating Host-Based Data using Machine Learning
        • Industrial Control Systems Network Mapping and Data Analytics for Cybersecurity
        • Measuring the Efficacy of Black-Box Attacks against Autonomous Reinforcement-Learning-based Cybersecurity Tools FY21
      • Directed Energy
        • Compact High Efficiency Electrically Tunable Amplifier (CHEETAh)
        • Scalable Computational Tools for Predicting Fluid-Structure Interactions in Laser Directed Energy Applications
      • Earth and Atmospheric Science
        • Dating Alluvial Landforms to Understand the Role of Climate in California's Water Supply
        • Deeply Rooted: Evaluating Plant Rooting Depth as a Means for Enhanced Soil Carbon Sequestration
        • Electrochemical Upcycling of Waste Cement: High-Performance Cement Production and Air Carbon Dioxide Removal
        • From Microbes to the Earth System: Upscaling Microbial Community Dynamics to Macro-scale Soil Carbon Models
        • High Altitude Disturbance: An Integrated Experimental and Modeling Approach to Quantifying Turbulence and Aerosols at Hypersonic Flight Height
        • Improved Seismic Monitoring for National and Energy Security with Earth Models from Full Waveform Inversion
        • Interseasonal Prediction of Western United States Snowpack with Deep Learning
        • Opening the Black Box: Compound-Specific Radiocarbon Analysis to Determine the Drivers of Soil Carbon Persistence
        • The Feasibility of Using Large Ensembles to Identify Human Influence on the Seasonal Cycle of Atmospheric Temperature
        • Understanding Carbon Accumulation Below Ground and the Role of Nutrients Under Rising Carbon Dioxide Levels
        • Understanding Urban and Wildland Fire Dynamics
        • Warming Response of Regional Deep Soil Organic Carbon
      • Energy and Resource Security
        • Advanced Membranes for Electrochemical Technologies
        • Encoding High Specificity and Multiplexing in Nanoporous Gas Sensors
        • Engineering Phase Transformations in Metal Hydrides for High-Temperature Energy Storage
        • Exploring Whether Subsurface Fluid Production can Minimize Triggered Seismicity in Geothermal Fields
        • Fiber Optic System for Direct Detection of Carbon Dioxide Leakage in Carbon Storage Wells
        • Gallium Nitride Superjunction Fin Field Effect Transistor
        • High-Flux Electrochemical Synthesis of Ammonia in Ionic Liquid
        • High-Pressure Electrochemistry in Condensed Gases and Supercritical Fluids
        • Improving Durability in the Next Generation of Photovoltaic Materials Through Discovery and Mitigation of Interface-Based Degradation Mechanisms
        • Manufacturing Molecules for the Carbon Economy
        • Per- and Polyfluoroalkyl Substances Removal from Water by Plasmonic-Photocatalysis
        • Radiative Cooling of Any Sky-Facing Surface
        • Regeneration of Carbon Dioxide Sorbents by Joule Heating: Improving Energy Efficiency and Net Carbon in Direct Air Capture
        • Support-Free Adsorbents for Intensification of Carbon Dioxide Capture from the Air
        • Transfer of Deep Reinforcement Learning from Simulation to the Road to Reduce Automotive Fuel Consumption
      • Forensic Science
        • Gold Nanomeshes for Passive Aerosol Capture
        • Improving the Analysis of Fentanyl and Related Synthetic Opioids: Alternate Derivatization Approaches for their Enhanced Detection by Gas Chromatography-Mass Spectrometry
        • Machine Learning-driven Mass Spectrometric Methods for the Screening of Emergent Threats
      • High-Energy-Density Science
        • A Short-Pulse, Laser-Driven Neutron Source for Stockpile Stewardship Science
        • Accurate Temperature Determination from X-Ray Diffraction and X-Ray Absorption Measurements
        • Active Activation Diagnostics for High Energy X-ray and Neutron Measurements
        • An Ultrafast View of Multiscale Plasticity
        • Behavior and Utility of Flow or Turbulence in Compressing Plasma
        • Capturing a New State of Matter: Relativistic Electron-Positron Plasma
        • Dopants for High Density Carbon
        • Driving Design with Cognitive Simulation
        • Establishing a Laser-Driven Megaelectronvolt X-Ray and Neutron Radiographic Capability
        • Exploring a Novel Way to Mitigate Surface Damage in Tokamaks
        • Exploring the Use of Magnetorheological Fluid Technology to Generate Optical Vortex Beams
        • Foam Fills for Laser-Plasma Instability Suppression
        • High-Repetition-Rate Diagnostics with Integrated Active Control for a New Paradigm of High-Energy-Density Experiments
        • Inferring Heat Flow in Laser Absorption Regions using Diagnostic Magnetic Fields
        • Interatomic Potentials: A Framework for Generating Quantum-Accurate Material Models
        • Investigating the Relationship Between Microstructure and Dynamic Response Using X-Ray Free-Electron Lasers
        • Laser-Plasma Interactions in Magnetized Environments
        • Magnetically Assisted Ignition
        • Measurement of Mutual Diffusion in Warm Dense Matter
        • Metal Ejecta: Transport, Interaction, and Recollection
        • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
        • Plasma Transport at the Nexus of Measurement and Modeling
        • Probing Liquid Phases and f-Electron Systems at the Dynamic Compression Sector
        • Scalable and Accurate Simulation of Magnetized Plasmas
        • Simulation of High-Energy-Density Plasmas Using a Novel, Fully-Implicit, Particle-in-cell/Monte-Carlo Algorithm
        • Tailored Particle Sources Driven by Precision-Shaped Short-Pulse Laser Pulses
        • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
        • Using Nano-Structured Targets and Ultra-Intense Lasers for Nuclear Science and Source Development
        • X-Ray Optics Solutions for Studying Mesoscale Science
      • High-Explosives Physics Chemistry and Material Science
        • Experimentally Interrogating Detonation Chemistry on Sub-nanosecond to 100-nanosecond Timescales
        • Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic X-Ray Diffraction
        • Unlocking the Mysteries of High-Explosive Science
      • High-Performance Computing Simulation and Data Science
        • Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation
        • Active Learning for Rapid Design of Vaccines and Antibodies
        • Advanced Physics Models for Particle-to-Particle Interactions
        • An Experimentally Validated Synergistic Membrane Model
        • Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
        • Automated Software Integration
        • Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids
        • Beating Monte Carlo: The Polynomial Method in Lattice Problems
        • Cross-Scale Modeling for Component Scale Simulations
        • DENAS: Deep Neuroevolution at Scale
        • Decentralized Autonomous Networks for Cooperative Estimation
        • Efficient Reduced-Order Models for Multi-Physics Simulations
        • Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations
        • Heterogeneous Computing Elements: A Quantitative Evaluation
        • High-Performance Parallel Simulations for Whole-Cell Modeling
        • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
        • Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales
        • Knowledge-Driven Machine Learning
        • Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction
        • MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments
        • Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction
        • Modeling Complex Behavior of Lattices to Enable Multiscale Design
        • Next Generation Machine Learning
        • Optimal High-Order Solvers
        • Probabilistic Models for Dynamic Hypergraphs with Content
        • Reliable Linear Solvers in Unreliable Computing Environments
        • Robust Control of Scientific Simulations with Deep Reinforcement Learning
        • Safe and Trustworthy Machine Learning
        • Scalable Motif-Driven Parallel Generative Adversarial Net for Community Detection
        • Scalable Multilevel Training of Large Neural Networks
        • Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing
        • The Applicability of Unit Systems to High-Performance Computing Applications
        • Using a Compressed Format for Floating-Point Data as a Data Type to Create Adaptive-Precision Compressed Arrays
      • Lasers and Optical Science and Technology
        • Beam-Combined Pulsed Fiber Lasers
        • Defects Suppression in Process-Optimized High Power and Energy Multilayer Dielectric Coated Optics
        • Energy Scaling of Thin-Disk Lasers
        • Exploring Fabrication of Ultra-low Absorption, Multilayer, Hafnium High Reflectors
        • Extending the Reach of Extreme Ultraviolet Instruments: A New Method for Measuring the Refractive Index of Materials
        • Freeform Optics
        • Germanium Photodiode Arrays for Hard X-Ray Imaging
        • Gestalt Optics: Three-Dimensional Transparent Ceramics
        • Glass Preforms for Next-Generation Fiber Lasers
        • Glass-Engraved Meta-Optics for High-Power Lasers
        • High-Energy Advanced Thermal Performance
        • Ionization-Based Optical Structures for the Control of Short-Pulse Lasers
        • Local Energy Matter Interactions and Materials Response in Hypersonic Environments
        • Modelocked Oscillator with Planar Gaussian Optics
        • Next-Generation Beam Quality for Deployed Laser Systems
        • Plasma Photonics: Manipulating Light Using Plasmas
        • Programmable Time-Varying Spectral Encoding for Advanced Control of High-Energy, High-Power Laser Systems
        • Revisiting the Critical Physics for Passing Energetic Laser Pulses through Air
        • Robust High-Power Diodes for Next Generation Laser Systems
        • The Physics of Confined Laser Ablation and Its Applications
        • Thulium-Doped Yttrium Lithium Fluoride High-Energy Laser Demonstrator
        • Ultrafast Operation of High-Average-Power, High-Energy Thulium Lasers
        • Ultrafast Plasma Optics for High-Power Coherent Light Sources
      • Nuclear Chemical and Isotopic Science and Technology
        • A Search for Sterile Neutrino Dark Matter
        • Addressing Unresolved Questions About the Solar System with New Lunar Samples from the Apollo Missions
        • Beta Decay at the Limits of Nuclear Stability: Integrating Ab Initio Calculations and Kinematically Complete Measurements
        • Constraining the Habitability of Mars When Water Flowed on Its Surface
        • Constraining the Origin of Earth’s Water with Isotope Tracers in Astromaterials
        • Cosmogenic Tracers to Reveal the Sensitivity of Groundwater-Dependent Ecosystems to Changing Climate
        • Deciphering Fingerprints of Stellar Nucleosynthesis Through Nuclear Reaction Rate Measurements and Isotopic Analyses of Stardust
        • Development of Novel Ligand-Based Systems to Study the Chemical Properties of the Transactinides
        • Earth’s Leaky Core: Identifying Signatures of Core Materials in the Lithosphere
        • Elusive Actinium: A First Glimpse into the Coordination Chemistry of Element 89
        • Fission with Exotic Nuclei
        • Fission-Product Decay Studies at the Facility for Rare Isotope Beams Decay Station
        • How Rapid is the Rapid Neutron Capture Process?
        • Identifying the Influence of Environmental Effects on Post-Detonation Chemistry and Debris Formation
        • Investigating the Site of the Weak Rapid Neutron Capture Process
        • Microresonators for Compact Optical Sensors
        • Nuclear Analytics: Enabling New Multimodal Approaches to Nuclear Threat Detection
        • Nuclear Reaction Theory for Astrophysics and Laboratory Applications
        • Nuclear Reaction Theory in the Precision Era: Probing New Physics in the Early Universe
        • Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
        • Proliferation of Interstellar Plutonium into the Solar System
        • Redefining the Geologic Timescale of the Solar System by Accurately Determining the Half-Life of Samarium-146 with Magnetic Microcalorimeters
        • Reverse-Engineering the Neutron-Nucleus Interaction
        • The Incredible Shrinking Proton
        • The Next Breakthroughs in Neutrino Physics
        • The Nuclear Science of Asteroid 16 Psyche
        • Two Nucleon Interactions and Their Effect on the Visible Universe and the Dark Universe
        • Ultrahigh-Resolution X-Ray Spectroscopy Using Cyclotron Radiation Emission
        • Understanding Angular Momentum in Nuclear Fission
        • Using Isotope Probing of Microbe-to-Microbe Interactions to Determine the Fate of Carbon and Impacts on Climate Change
        • Using Moderately Volatile Elements to Understand the Origin of the Earth-Moon System
        • Utilizing Radioactive Isotopes Harvested at the Facility for Rare Isotope Beams for Neutron-Reaction Measurements
      • Nuclear Threat Reduction
        • Compact Readout for an Intelligent Segmented Autonomous Neutron Directional Detector
        • Deployable, Automated Chemistry-on-a-Chip Platform for Nuclear Forensics
        • Developing Compositional Control During Additive Manufacturing of Surrogate Debris Reference Materials and Microanalytical Standards
        • Development of the Uranium-236, Uranium-238 Signature for Pre-Detonation Nuclear Forensics
        • Modeling Nuclear Cloud Rise and Fallout in Complex Environments
        • Narcissus-Enabled Compact Thermal Hyperspectral Imager
        • Nuclear Resonance Transmission Analysis Using a Vehicle-Portable Source
        • Optimal Giant Detectors
        • The Next Frontiers in Rare-Event Detection for Science and Security
        • Toward a Predictive Exascale-Class Hypersonic Simulation Capability for Damage Lethality Assessment and Weapons Environment Characterization
      • Nuclear Weapons Science
        • Development of a Multidimensional, Holographic Velocity Interferometer System
        • Fission Experiments in Laser-Generated Plasmas
        • Laser-on-Wheels: A Study to Determine Feasibility
        • On-Demand Deterministic Entangled Photon Source
        • Project DarkStar: Controlling Material Deformation
        • Sirius Mini: A Prototype Disruptive Accelerator Architecture for Next-Generation Inertial Confinement Fusion Systems
      • Quantum Science and Technology
        • Expanding Control of Quantum Processor Units
        • Nuclear Dynamics on a Quantum Chip
        • Quantum Computing with Trapped Electrons
        • Radiofrequency-Photonic Control Interface for Scalable, High Speed Quantum Computing
        • Scalable Quantum Optimal Control
        • Single Photon Emission from Vanadium Defects in Silicon Carbide
        • Topological Materials for Quantum Computing
      • Space Security
        • Asteroid Science in the Era of the Large Synoptic Survey Telescope
        • Multivariate Gaussian Process Surrogate Models in High Dimensions
        • Observing Atmospheric Gravity Waves from Space
        • Revealing the Physics of the Hot and Energetic Universe via Single-Photon-Counting Advanced X-Ray Microcalorimeter Systems
        • Tunable Optoelectronic Materials for Next-Generation Infrared Detectors
  • FY2020
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  • FY2015
    • Science and Technology on a Mission
    • Overview
    • Advanced Materials and Manufacturing
    • Bioscience and Bioengineering
    • Chemical and Biological Security
    • Cyber Security, Space, and Intelligence
    • Energy and Climate Security
    • High-Energy-Density Science
    • High-Performance Computing, Simulation, and Data Science
    • Inertial Fusion Science and Technology
    • Lasers and Optical Science and Technology
    • Nuclear, Chemical, and Isotopic Science and Technology
    • Stockpile Stewardship Science
      • A Dense-Plasma Focus Device as a Compact Neutron Source
      • Advanced Double-Shell Target Designs for Inertial Fusion Energy
      • Application of Imposed Magnetic Fields to Ignition and Thermonuclear Burn at the National Ignition Facility
      • Application-Driven Research into Multiscale Modeling of Laser––Plasma Interactions
      • Multiframe, Single Line-of-Sight X-Ray Imager for Burning Plasmas
      • Precision Gamma-Ray Signatures for Long-Lived Radioactive Nuclei
      • Self-Consistent, Three-Dimensional Calculations of Electromagnetic Pulse Propagation
      • Single-Shock Platform for Activation Studies with a Prompt Source of Fast Neutrons
      • Transport and the Equation of State for Asymmetric Plasma Mixtures
  • See All
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Stockpile Stewardship Science

Fy2015 ldrd annual report

Application of Imposed Magnetic Fields to Ignition and Thermonuclear Burn at the National Ignition Facility (14-ERD-028)

Advanced Double-Shell Target Designs for Inertial Fusion Energy (14-ERD-031)

Precision Gamma-Ray Signatures for Long-Lived Radioactive Nuclei (15-ERD-015)

A Dense-Plasma Focus Device as a Compact Neutron Source (15-ERD-034)

Application-Driven Research into Multiscale Modeling of Laser––Plasma Interactions (15-ERD-038)

Single-Shock Platform for Activation Studies with a Prompt Source of Fast Neutrons (15-ERD-046)

Transport and the Equation of State for Asymmetric Plasma Mixtures (15-ERD-052)

Multiframe, Single Line-of-Sight X-Ray Imager for Burning Plasmas (15-ERD-064)

Self-Consistent, Three-Dimensional Calculations of Electromagnetic Pulse Propagation (15-ERD-066)

LLNL
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  • Program Overview
    • Program Description
    • Program Value
    • Program Accomplishments
  • Project Highlights
    • Advanced Materials and Manufacturing
      • Accelerated Multi-Modal Manufacturing Optimization
      • Advanced Fabrication Techniques of Metal Hydrides for Science and Technology Applications
      • Advanced Manufacturing of Net-Shape Leading Edge Geometries for Hypersonic Flight
      • Advanced Quantitative Metrology and Characterization for Manufacturing
      • Automated, High-Throughput Screening of Increased Ionic Conductivity Polymer Electrolytes
      • Bespoke Gold Foams via Xerogel Templating
      • Building Materials Knowledge Models via Document Network Analysis
      • Characterizing Materials for Quantum Computing
      • Climbing over Energy Barriers: A New Paradigm for Accelerating Kinetics
      • Confined Coaxial Powder Extrusion
      • Converting Air into Ammonia via Advanced Manufactured Electrochemical Reactors
      • Developing an Understanding and Control of Electrochemical Deposition Processes for Functional Coatings on Complex Three-Dimensionally Printed Substrates
      • Development of Metastable High Entropy Alloys for Additive Manufacturing
      • Dual-Energy Phase-Contrast Computed Tomography to Improve Material Discrimination
      • Electrostatic Powder Dispenser for Additive Manufacturing Processes
      • Enabling Multi-Material Metal Additive Manufacturing Builds through Electrostatic Powder Spreading
      • Gas Bubble Management for Electrochemical Systems
      • High Energy Density Supercapacitors
      • High-Efficiency Biomimetic Three-Dimensional Membranes
      • Investigation of Scanning Droplet Cell Technology for Electrochemical Deposition of Custom Three-Dimensional Alloys
      • Large-Scale, Two-Photon, Three-Dimensional Printing Enabled by Metaoptics
      • Laser Processing of Solid-State Lithium Batteries
      • Machine Learning Design of Single-Atom Catalysts for Carbon Dioxide Reduction
      • Magnetostrictive Materials for Enhanced Sensors and Electronic Components
      • Metal-Organic Frameworks as Templates for New Materials Featuring High Complexity and Ordered Porosity
      • Mid- and High-Z Doping of High Purity, Density Tunable Amorphous Carbon Films on Complex Geometries
      • Nanofluid Laser Entrainment Additive Manufacturing
      • Novel Multi-Phase Fluidic Platforms for Chemical, Biological, and Nuclear Forensics
      • Overcoming Cycling Limitations for High-Energy-Density Lithium-Ion Batteries
      • Photonic Sintering for Granular Additive Manufacturing
      • Predicting and Controlling Corrosion
      • Prediction of Complex Metals' and Alloys’ Response to Temperature and Deformation via Handshake Between Experiments and Modeling
      • Probing the Mechanism of Hydrogen Embrittlement in Body-Centered Cubic Titanium Alloys Using Multiscale Characterization Techniques
      • Production and Testing of Architected Cermets
      • Radiation Defect Engineering in Two-Dimensional Nanomembranes
      • Rapid Design to Deployment of Tailored Alloys
      • Shape Changing of Responsive Elastomer Structures
      • Super-Strong, Micrometer-Thin Carbon Nanotube Yarns
      • Sustainable and Chemically Recyclable Photopolymers for Three-Dimensional Printing
      • The Science of Scaleup: Accelerated Scaling of Materials and Manufacturing Solutions
      • Ultrathick Boron Carbide Coatings
      • Understanding Subsurface Behavior and Defect Formation During Laser Material Interactions Via Coupled In Situ X-Ray and Optical Probes
      • Volumetric Additive Manufacturing of Glass
      • Volumetric Additive Manufacturing with Microwave Radiation
    • Bioscience and Bioengineering
      • Battling Long Coronavirus Disease 2019 in the Brain: Elucidating Mechanisms of Neural Dysfunction
      • Biological Additive Manufacturing Capabilities for Enabling Rapid Response to Emerging Pathogens
      • Bioprinting of Engineered Biofilms for Microbial Electrosynthesis
      • Bioprinting the Unprintable with Unjammed Powder Printing
      • Carbon-14-Labeled Microbes to Track the Fates of Microbial Metabolites: A Potential Technical Approach to Define the Gut-Brain Axis in Animal Models
      • Controlling Access to the Brain: Fine-Tuning Permeability of the Blood-Brain Barrier
      • Cure the Incurable: Supercharged Immune Cells to Fight Disease
      • Delivering Ribonucleic Acid Vaccines Using Nanoparticles
      • Development of Advanced Terahertz Chiroptical Spectroscopy for Biological and Chemical Security
      • Do Reprogrammed Brain Cells Hold the Key to Healing Damaged Networks After Traumatic Brain Injury?
      • Eavesdropping on Cancer: Developing Blood-Based Exosome Diagnostics
      • Engineered Human Vascular Models to Study Endothelial Dysfunction in Infectious Disease
      • Engineering a Biosynthetic Pathway for Glycolonitrile, a High Energy Material Precursor
      • Fiery Effects of Wildfire Smoke Inhalation
      • Flexible and High-Density Nerve Interface for Peripheral Neuromodulation
      • Fungal Pneumonia: Understanding Immune Vulnerabilities that Cause Valley Fever
      • High-Resolution Bioprinted Hierarchical Lung Tissue Model for Studying Respiratory Threats
      • Invisible Organ: The Next Level of Human Health and Resilience
      • Microbial Recycling of Plastic-Polymer-Bonded Rare Earth Magnets
      • Microbiome Controls on Harmful Algal Toxin Production in Lake Erie
      • Modulating Guanosine Triphosphate Hydrolysis Provides Novel Therapeutic Option to Treat Cancer and Bacterial Infections
      • Next Generation Dialysis via Exploitation of Novel Fast Diffusion through Nanoscale Pores
      • Quantitative Viral Assessments for Improved Biomonitoring
      • Rapid Fabrication of Engineered Gradient Tissue Scaffolds Using Cell-Embedded Microbeads
      • Rapid T Cell Engineering to Counter Emerging Threats
      • Revealing Molecular and Cellular Mechanisms of Microbial Pathogenesis Through Multiscale Dynamic Imaging
    • Chemical and Biological Countermeasures
      • Building a Computational and Experimental Rapid Response Pipeline to Counter the Coronavirus Disease 2019 Outbreak and Emerging Biothreats
      • Profiling Neurological Consequences and Susceptible Populations of Chronic Opioid Use
      • Rapid Computational Identification of Therapeutic Targets for Pathogens
    • Cybersecurity and Cyber-Physical Resilience
      • Exploration of In-Memory Analytics
      • FUNPAC: Firmware Updates Need Proof-Accompanied Code
      • ThornedThymus: An Adaptive Immune System for the Software Supply Chain
    • Directed Energy
      • Compact High Efficiency Electrically Tunable Amplifier (CHEETAh)
      • Foundational Advances in Refractive Index Control for Optical Fibers
      • Wireless Coordination for Distributed High-Power Microwave Sources
    • Earth and Atmospheric Science
      • A New Shallow Cumulus Cloud Detection Algorithm from Satellite and Ground-Based Data
      • Advancing Carbon Cycle Forecasts with Global Models of Soil Chemistry
      • Electrochemical Upcycling of Waste Cement: High-Performance Cement Production and Air Carbon Dioxide Removal
      • Enhanced Tunnel Detection with Multiple Sensor Technologies
      • Enhancing Precipitation Predictions with the Cloud-Associated Parameterizations Testbed using Artificial Intelligence
      • Fighting Fire with Fire: Can Traditional Native American Burning Practices Help Reduce Devastating Wildfires and Increase Soil Carbon Storage?
      • From Microbes to the Earth System – Upscaling Microbial Community Dynamics to Macro-scale Soil Carbon Models
      • High Accuracy at Low Cost: Using Machine Learning to Emulate the Department of Energy's Global Cloud-Resolving Climate Model
      • High Altitude Disturbance: An Integrated Experimental and Modeling Approach to Quantifying Turbulence and Aerosols at Hypersonic Flight Height
      • Improved Seismic Monitoring for National and Energy Security with Earth Models from Full Waveform Inversion
      • Microbe-Mediated Effects of Enhanced Rock Weathering on Soil Organic Carbon Storage
      • Multiscale Wildfire Simulation Framework and Remote Sensing
      • Opening the Black Box: Compound-Specific Radiocarbon Analysis to Determine the Drivers of Soil Carbon Persistence
      • Understanding Urban and Wildland Fire Dynamics
      • Warming Response of Regional Deep Soil Organic Carbon
    • Energy and Resource Security
      • Advanced Membranes for Electrochemical Technologies
      • Climate Resilience for National Security
      • Developing a Predictive Catalysis Framework for Upgrading Sustainable Alcohols
      • Direct Air Capture of Carbon Dioxide with Ocean Wave Energy
      • Enabling Stable Lithium Metal Anodes for Next-Generation Solid-State Batteries
      • Encoding High Specificity and Multiplexing in Nanoporous Gas Sensors
      • Ending Electrolyte Degradation in Aqueous Flow Batteries: Enabling Low-Cost Alternatives for Scalable Grid Storage
      • Exploiting Hydrogen-Induced Phase Transformations for High-Temperature Applications
      • Exploring Whether Subsurface Fluid Production can Minimize Triggered Seismicity in Geothermal Fields
      • Gallium Nitride Superjunction Fin Field Effect Transistor
      • High-Pressure Electrochemistry in Condensed Gases and Supercritical Fluids
      • Improving Durability in the Next Generation of Photovoltaic Materials Through Discovery and Mitigation of Interface-Based Degradation Mechanisms
      • Polar Branch-and-Bound Algorithm for Global Non-Convex Optimization in Energy Networks
      • Radiative Cooling of Any Sky-Facing Surface
      • Ultra-High Water Recovery Desalination with Record Thermodynamic Efficiencies
    • Forensic Science
      • Countermeasure Development for Chemical Warfare Agents through Accelerated Molecular Discovery
    • High-Energy-Density Science
      • A Kinetic Transport Model for Magnetized Radiation-Hydrodynamics
      • A New Data-Driven Standard Solar Model
      • Behavior and Utility of Flow or Turbulence in Compressing Plasma
      • Breaking Beams: A Kinetic Treatment of the Filamentation and Forward Scatter of Laser Beams in Plasma
      • Dopants for High Density Carbon
      • Driving Design with Cognitive Simulation
      • Exploring a Novel Way to Mitigate Surface Damage in Tokamaks
      • Extending Equation-of-State Measurements to Gigabar Pressures
      • Finite Temperature Structure Prediction
      • Foam Fills for Laser-Plasma Instability Suppression
      • High-Repetition-Rate Diagnostics with Integrated Active Control for a New Paradigm of High-Energy-Density Experiments
      • Inferring Heat Flow in Laser Absorption Regions using Diagnostic Magnetic Fields
      • Interatomic Potentials: A Framework for Generating Quantum-Accurate Material Models
      • Investigating the Relationship Between Microstructure and Dynamic Response Using X-Ray Free-Electron Lasers
      • Magnetically Assisted Ignition
      • Measurement of Mutual Diffusion in Warm Dense Matter
      • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
      • Plasma Transport at the Nexus of Measurement and Modeling
      • Pulsed-Plasma Sputter Deposition of Diamond-Like Carbon Ablators
      • Scalable and Accurate Simulation of Magnetized Plasmas
      • Shock Ignition in Indirect Drive: A New Approach to High Fusion Gains
      • Simulation of High-Energy-Density Plasmas Using a Novel, Fully-Implicit, Particle-in-Cell/Monte-Carlo Algorithm
      • Tailored Particle Sources Driven by Precision-Shaped Short-Pulse Laser Pulses
      • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
      • Using Nano-Structured Targets and Ultra-Intense Lasers for Nuclear Science and Source Development
    • High-Explosives Physics Chemistry and Material Science
      • Experimentally Interrogating Detonation Chemistry on Sub-Nanosecond to 100-Nanosecond Timescales
      • Towards Automated Characterization of Heterogeneous Materials: A Case Study Using X-ray Absorption Spectroscopy of Detonation Products
      • Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic X-Ray Diffraction
    • High-Performance Computing Simulation and Data Science
      • Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation
      • Active Learning for Rapid Design of Vaccines and Antibodies
      • Adaptive Sampling for Risk-Averse Design and Optimization
      • An Experimentally Validated Synergistic Membrane Model
      • Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
      • Automated Software Integration
      • Autonomous MultiScale: Embedded Machine Learning for Smart Simulations
      • Beating Monte Carlo: The Polynomial Method in Lattice Problems
      • Cross-Scale Modeling for Component Scale Simulations
      • Decentralized Autonomous Networks for Cooperative Estimation
      • Decision Superiority
      • Deep Facial Representation for Quantification of Emotion Dynamics
      • DENAS: Deep Neuroevolution at Scale
      • Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation
      • Efficient High-Frequency Time-Harmonic Wave Propagation Solvers Using Discontinuous Petrov-Galerkin Methods
      • Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations
      • Hierarchical, Multimodel, Multiscale Parallel-In-Time
      • High-Performance Computing Force Multiplier: Leading the Way for Extreme-Scale Converged Computing
      • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
      • Improving Extrapolation Behavior in Deep Neural Networks
      • Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales
      • Knowledge-Driven Machine Learning
      • Large-Scale Shape Optimization with Conformal Meshes
      • Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction
      • Modeling Complex Behavior of Lattices to Enable Multiscale Design
      • Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction
      • Optimal High-Order Solvers
      • Probabilistic Models for Dynamic Hypergraphs with Content
      • Reliable Decentralized Solvers in Unreliable Computing Environments
      • Robust Control of Scientific Simulations with Deep Reinforcement Learning
      • Safe and Trustworthy Machine Learning
      • Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing
      • Virtual Inspections: Fast and Intuitive Inspections of Manufactured Parts in Virtual Reality
      • Zeroth-Order Machine Learning for Flexible Integration of Domain Knowledge
    • Hypersonics
    • Lasers and Optical Science and Technology
      • Additively Manufactured Neodymium-Doped Strontium-Fluoride Ceramic Gain Medium
      • Agile Mixing Platform Engineered for Transient Compositional Printing
      • Arbitrary Space-Variant Polarization Control for Large Aperture, High-Energy Lasers
      • Beam-Combined Pulsed Fiber Lasers
      • Defects Suppression in Process-Optimized High Power and Energy Multilayer Dielectric Coated Optics
      • Designing Damage-Resistant Multilayer Dielectric Gratings for Petawatt-Class Lasers
      • Exploring the Cosmos: Enabling One Thousand Times More Sensitive Spectrographs for Exoplanet Search
      • Freeform Optics
      • Glass Preforms for Next-Generation Fiber Lasers
      • Glass-Engraved Meta-Optics for High-Power Lasers
      • Ionization-Based Optical Structures for the Control of Short-Pulse Lasers
      • Laser Amplification with Suppressed Amplified Spontaneous Emission
      • Long Pulse Laser-Driven Shock-Induced Damage in Metals
      • Modelocked Oscillator with Planar Gaussian Optics
      • Next-Generation Beam Quality for Deployed Laser Systems
      • Post-Chirped-Pulse-Amplification Pulse Compression for High Energy Laser Systems
      • Predicting Damage Growth using Multimode Characterization and Machine Learning
      • Programmable Time-Varying Spectral Encoding for Advanced Control of High-Energy, High-Power Laser Systems
      • Revisiting the Critical Physics for Passing Energetic Laser Pulses through Air
      • Robust High-Power Diodes for Next Generation Laser Systems
      • Spectral Shaping by Phase-Modulated, Picosecond-Pumped, Optical Parametric Chirped-Pulse Amplification
      • Ultrafast Operation of High-Average-Power, High-Energy Thulium Lasers
      • Ultrafast Plasma Optics for High-Power Coherent Light Sources
      • Ultrawide Bandgap Laser Addressable Photoconductors
    • Nuclear Chemical and Isotopic Science and Technology
      • A Search for Sterile Neutrino Dark Matter
      • Addressing Unresolved Questions About the Solar System with New Lunar Samples from the Apollo Missions
      • Advanced Manufacturing of Novel Oxide Composites for Reusable Leading Edges
      • Bead Fabrication for Extreme Environment Analysis Development
      • Cosmogenic Tracers to Reveal the Sensitivity of Groundwater-Dependent Ecosystems to Changing Climate
      • Deciphering Fingerprints of Stellar Nucleosynthesis Through Nuclear Reaction Rate Measurements and Isotopic Analyses of Stardust
      • Dense Plasma Focus Neutron Source for Nuclear Forensics
      • Development of a Novel Neutron Source for Next-Generation Neutron Scattering Experiments
      • Earth’s Leaky Core: Identifying Signatures of Core Materials in the Lithosphere
      • Fission with Exotic Nuclei
      • How Rapid is the Rapid Neutron Capture Process?
      • Hunting Sub-gigaelectron-volt Dark Matter with Diamonds and Magnetic Microcalorimeters
      • Laying the Foundation for a Nuclear Reactions Program using Rare Ion Beams and Artificial Intelligence
      • Local Energy Matter Interactions and Materials Response in Hypersonic Environments
      • Noble Gas Cosmochemistry
      • Nuclear Analytics: Enabling New Multimodal Approaches to Nuclear Threat Detection
      • Nuclear Detective Work in the Early Universe: The Mysterious Origin of Protein-Rich Stable Nuclei
      • Predictive Ternary Reactions for Stellar Nucleosynthesis
      • Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
      • Redefining the Geologic Timescale of the Solar System by Accurately Determining the Half-Life of Samarium-146 with Magnetic Microcalorimeters
      • Reverse-Engineering the Neutron-Nucleus Interaction
      • The Incredible Shrinking Proton
      • The Nuclear Science of Asteroid 16 Psyche
      • Understanding Angular Momentum in Nuclear Fission
    • Nuclear Threat Reduction
      • Developing Compositional Control During Additive Manufacturing of Surrogate Debris Reference Materials and Microanalytical Standards
      • Development of the Uranium-236, Uranium-238 Signature for Pre-Detonation Nuclear Forensics
      • Generating Fallout-Like Particles by Improving an Existing Setup
      • Narcissus-Enabled Compact Thermal Hyperspectral Imager
      • Nuclear Resonance Transmission Analysis Using a Vehicle-Portable Source
      • Solid-State Gamma-Ray Detection Using Quantum Dots
      • The Next Frontiers in Rare-Event Detection for Science and Security
      • Toward a Predictive Exascale-Class Hypersonic Simulation Capability for Damage Lethality Assessment and Weapons Environment Characterization
    • Nuclear Weapons Science
      • Accelerated Materials Simulations with Deep Neural Networks
      • Development of a Multidimensional, Holographic Velocity Interferometer System
      • Fission Experiments in Laser-Generated Plasmas
      • Impact of Two-Micron Laser Wavelength on High-Energy-Density Applications and Diagnostics
      • Inferring Mix and Hot-Spot Conditions from Spectroscopic Measurements with Machine Learning
      • Next-Generation Short-Pulse Laser-Driven Neutron Sources for Multimodal Radiography
      • Project DarkStar: Controlling Material Deformation
      • Sirius Mini: A Prototype Disruptive Accelerator Architecture for Next-Generation Inertial Confinement Fusion Systems
    • Quantum Science and Technology
      • New Qubit Geometries with Minimal Participation of Dielectric in Resonant Modes
      • Novel Frequency Tunable Systems for Superconducting Cavities
      • Nuclear Dynamics on a Quantum Chip
      • Radiofrequency-Photonic Control Interface for Scalable, High Speed Quantum Computing
      • Scalable Quantum Optimal Control
      • Topological Materials for Quantum Computing
    • Space Security
      • A New Dark Matter and Early Universe Grand Science Campaign
      • Asteroid Science in the Era of the Large Synoptic Survey Telescope
      • Data On-Demand for Capable Space Domain Awareness Architecture
      • Fifty-Centimeter Monolithic Space Telescopes
      • Non-Stationary Gaussian Processes at High-Performance Computing Scales for the Space Domain
      • Observing Atmospheric Gravity Waves from Space
      • Revealing the Physics of the Hot and Energetic Universe via Single-Photon-Counting Advanced X-Ray Microcalorimeter Systems
  • Archives
    • FY2021
      • Program Overview
        • Program Accomplishments
        • Program Description
        • Program Value
      • Project Highlights
        • Advanced Materials and Manufacturing
          • A New Science-Based Paradigm Enabling Microstructure-Tailored Additive Manufacturing of Metals
          • Accelerated Multi-Modal Manufacturing Optimization
          • Accelerating Feedstock Optimization Using Computer Vision, Machine Learning, and Data Analysis Techniques
          • Acoustic and Electromagnetic Characterization for Accelerated Development of Additive Manufacturing
          • Advanced Alloys for Emerging Challenges
          • Advanced Manufacturing of Net-Shape Leading Edge Geometries for Hypersonic Flight
          • Advanced Photopolymer Materials Engineering for Multiscale Additive Fabrication
          • Advanced Quantitative Metrology and Characterization for Manufacturing
          • Bespoke Gold Foams via Xerogel Templating
          • Characterizing Materials for Quantum Computing
          • Climbing over Energy Barriers: A New Paradigm for Accelerating Kinetics
          • Developing an Understanding and Control of Electrochemical Deposition Processes for Functional Coatings on Complex Three-Dimensionally Printed Substrates
          • Development of Magnetic Nanostructures and Their Composites for Efficacious and Lightweight Millimeter Wave Absorbers
          • Development of Metastable High Entropy Alloys for Additive Manufacturing
          • Dual Wavelength Negative Imaging Digital Light Processing Stereo Lithographic Apparatus
          • Dynamic Polymer Networks for On Demand Degradable Adhesives, Scaffolds, and Templates
          • Electrostatic Powder Dispenser for Additive Manufacturing Processes
          • Exascale-Ready Modeling to Predict Recrystallization in High-Temperature Materials
          • Glass Inks for Three-Dimensional Printed Fiber Preforms and Telescope Optics
          • High Energy Density Supercapacitors
          • High-Resolution Three-Dimensional Imaging via X-Ray Reflectometry and Phase-Contrast Computed Tomography
          • Hydrogen Embrittlement-Resistant High-Entropy Alloys with High Strength and Ductility
          • Laser Processing of Solid-State Lithium Batteries
          • Lattice Reinforced Cermet Materials
          • Magnetostrictive Materials for Enhanced Sensors and Electronic Components
          • Materials with Embedded Microstructural Logic
          • Metal-Organic Frameworks as Templates for New Materials Featuring High Complexity and Ordered Porosity
          • Mid- and High-Z Doping of High Purity, Density Tunable Amorphous Carbon Films on Complex Geometries
          • Nanofluid Laser Entrainment Additive Manufacturing
          • Overcoming Cycling Limitations for High-Energy-Density Lithium-Ion Batteries
          • Parallel Two-Photon Lithography Using a Metalens Array
          • Pattern Formation in Concurrent Multiscale Simulation: A Breakthrough in Understanding Metal Behavior
          • Porous Metals via Ice Templating
          • Predicting and Controlling Corrosion
          • Prediction of Complex Metals' and Alloys' Response to Temperature and Deformation via Handshake Between Experiments and Modeling
          • Probing the Mechanism of Hydrogen Embrittlement in Body-Centered Cubic Titanium Alloys Using Multiscale Characterization Techniques
          • Shape Changing of Responsive Elastomer Structures
          • Super-Strong, Micrometer-Thin Carbon Nanotube Yarns
          • Surface Modification of High Explosives
          • Toward Wearable Artificial Intelligence: Flexible Nanocrystal Memristors That Mimic Multilevel Synaptic Functions
          • Transforming Living Materials into Chemical Reactors
          • Ultrasound-Enabled Advanced Manufacturing of Polymers
          • Ultrathick Boron Carbide Coatings
          • Understanding Subsurface Behavior and Defect Formation During Laser Material Interactions Via Coupled In Situ X-Ray and Optical Probes
          • Why Do Polymers Turn Yellow? Monitoring Polymer Aging with Time-Resolved Photoluminescence
        • Bioscience and Bioengineering
          • A Deep Bayesian Active Learning Framework for Temporal Multimodal Data
          • Antibacterial Minerals: A Geochemical Approach to Combating Antibiotic Resistance
          • Biological Additive Manufacturing Capabilities for Enabling Rapid Response to Emerging Pathogens
          • Bioprinting Breast Cancer In Situ to Study Cell Communication in Disease Progression
          • Bioprinting of Engineered Biofilms for Microbial Electrosynthesis
          • Bioprinting the Unprintable with Unjammed Powder Printing
          • Boot Camp Bugs: Microbiomes of US Infantry Trainees
          • Can High-Throughput Assays Identify Microbes That Degrade Polyethylene Plastics?
          • Delivering Ribonucleic Acid Vaccines Using Nanoparticles
          • Direct Visualization of Structural Maintenance of Chromosomes by Protein-Mediated Loop Extrusion Using High-Speed Atomic Force Microscopy
          • Do Reprogrammed Brain Cells Hold the Key to Healing Damaged Networks After Traumatic Brain Injury?
          • Eavesdropping on Cancer: Developing Blood-Based Exosome Diagnostics
          • Engineered and Instrumented Three-Dimensional Tumor-Immune Model System
          • Engineering Human Vascular Beds to Study Endothelial Susceptibility to the Coronavirus Disease 2019
          • Flexible and High-Density Nerve Interface for Peripheral Neuromodulation
          • Incorporation of Carbon Electrodes on Flexible Microelectrode Arrays
          • Longitudinal Monitoring of Ribonucleic Acid Content of a Live Cell with a Nanotube Pore Interface
          • Microbiome Controls on Harmful Algal Toxin Production in Lake Erie
          • Quantitative Viral Assessments for Improved Biomonitoring
          • Revealing Molecular and Cellular Mechanisms of Microbial Pathogenesis Through Multiscale Dynamic Imaging
          • Stable Isotope Probing and Viromics: Quantifying Virus-Host and Carbon Cycling Dynamics in Soil with Isotope-Targeted Metagenomics
          • Three-Dimensional Bioprinted Aneurysm for Intervention Modeling Validation
          • Using High-Dimensional Omics Data to Identify Therapeutic Strategies for Promoting Tissue Repair and Regeneration
        • Chemical and Biological Countermeasures
          • Building a Computational and Experimental Rapid Response Pipeline to Counter the Coronavirus Disease 2019 Outbreak and Emerging Biothreats
          • Construction of Genetic Sense-and-Respond Modules to Detect Viral Infection
          • Engineering Yeast Biosensors for Pathogen Detection
          • Identifying Potential Antiviral Small Molecules Against the Coronavirus Disease 2019
          • Profiling Neurological Consequences and Susceptible Populations of Chronic Opioid Use
          • Quantum Cascade Lasers with Submicrosecond Tuning Speed for the Detection of High Explosives and Chemical Warfare Agents
          • Rapid Computational Identification of Therapeutic Targets for Pathogens
          • Vaccination on the Fly: The Use of Mosquitoes to Vaccinate Bat Populations That Harbor Human Pathogens
        • Cybersecurity and Cyber-Physical Resilience
          • Exploration of In-Memory Analytics
          • FUNPAC: Firmware Updates Need Proof-Accompanied Code
          • Generating Host-Based Data using Machine Learning
          • Industrial Control Systems Network Mapping and Data Analytics for Cybersecurity
          • Measuring the Efficacy of Black-Box Attacks against Autonomous Reinforcement-Learning-based Cybersecurity Tools FY21
        • Directed Energy
          • Compact High Efficiency Electrically Tunable Amplifier (CHEETAh)
          • Scalable Computational Tools for Predicting Fluid-Structure Interactions in Laser Directed Energy Applications
        • Earth and Atmospheric Science
          • Dating Alluvial Landforms to Understand the Role of Climate in California's Water Supply
          • Deeply Rooted: Evaluating Plant Rooting Depth as a Means for Enhanced Soil Carbon Sequestration
          • Electrochemical Upcycling of Waste Cement: High-Performance Cement Production and Air Carbon Dioxide Removal
          • From Microbes to the Earth System: Upscaling Microbial Community Dynamics to Macro-scale Soil Carbon Models
          • High Altitude Disturbance: An Integrated Experimental and Modeling Approach to Quantifying Turbulence and Aerosols at Hypersonic Flight Height
          • Improved Seismic Monitoring for National and Energy Security with Earth Models from Full Waveform Inversion
          • Interseasonal Prediction of Western United States Snowpack with Deep Learning
          • Opening the Black Box: Compound-Specific Radiocarbon Analysis to Determine the Drivers of Soil Carbon Persistence
          • The Feasibility of Using Large Ensembles to Identify Human Influence on the Seasonal Cycle of Atmospheric Temperature
          • Understanding Carbon Accumulation Below Ground and the Role of Nutrients Under Rising Carbon Dioxide Levels
          • Understanding Urban and Wildland Fire Dynamics
          • Warming Response of Regional Deep Soil Organic Carbon
        • Energy and Resource Security
          • Advanced Membranes for Electrochemical Technologies
          • Encoding High Specificity and Multiplexing in Nanoporous Gas Sensors
          • Engineering Phase Transformations in Metal Hydrides for High-Temperature Energy Storage
          • Exploring Whether Subsurface Fluid Production can Minimize Triggered Seismicity in Geothermal Fields
          • Fiber Optic System for Direct Detection of Carbon Dioxide Leakage in Carbon Storage Wells
          • Gallium Nitride Superjunction Fin Field Effect Transistor
          • High-Flux Electrochemical Synthesis of Ammonia in Ionic Liquid
          • High-Pressure Electrochemistry in Condensed Gases and Supercritical Fluids
          • Improving Durability in the Next Generation of Photovoltaic Materials Through Discovery and Mitigation of Interface-Based Degradation Mechanisms
          • Manufacturing Molecules for the Carbon Economy
          • Per- and Polyfluoroalkyl Substances Removal from Water by Plasmonic-Photocatalysis
          • Radiative Cooling of Any Sky-Facing Surface
          • Regeneration of Carbon Dioxide Sorbents by Joule Heating: Improving Energy Efficiency and Net Carbon in Direct Air Capture
          • Support-Free Adsorbents for Intensification of Carbon Dioxide Capture from the Air
          • Transfer of Deep Reinforcement Learning from Simulation to the Road to Reduce Automotive Fuel Consumption
        • Forensic Science
          • Gold Nanomeshes for Passive Aerosol Capture
          • Improving the Analysis of Fentanyl and Related Synthetic Opioids: Alternate Derivatization Approaches for their Enhanced Detection by Gas Chromatography-Mass Spectrometry
          • Machine Learning-driven Mass Spectrometric Methods for the Screening of Emergent Threats
        • High-Energy-Density Science
          • A Short-Pulse, Laser-Driven Neutron Source for Stockpile Stewardship Science
          • Accurate Temperature Determination from X-Ray Diffraction and X-Ray Absorption Measurements
          • Active Activation Diagnostics for High Energy X-ray and Neutron Measurements
          • An Ultrafast View of Multiscale Plasticity
          • Behavior and Utility of Flow or Turbulence in Compressing Plasma
          • Capturing a New State of Matter: Relativistic Electron-Positron Plasma
          • Dopants for High Density Carbon
          • Driving Design with Cognitive Simulation
          • Establishing a Laser-Driven Megaelectronvolt X-Ray and Neutron Radiographic Capability
          • Exploring a Novel Way to Mitigate Surface Damage in Tokamaks
          • Exploring the Use of Magnetorheological Fluid Technology to Generate Optical Vortex Beams
          • Foam Fills for Laser-Plasma Instability Suppression
          • High-Repetition-Rate Diagnostics with Integrated Active Control for a New Paradigm of High-Energy-Density Experiments
          • Inferring Heat Flow in Laser Absorption Regions using Diagnostic Magnetic Fields
          • Interatomic Potentials: A Framework for Generating Quantum-Accurate Material Models
          • Investigating the Relationship Between Microstructure and Dynamic Response Using X-Ray Free-Electron Lasers
          • Laser-Plasma Interactions in Magnetized Environments
          • Magnetically Assisted Ignition
          • Measurement of Mutual Diffusion in Warm Dense Matter
          • Metal Ejecta: Transport, Interaction, and Recollection
          • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
          • Plasma Transport at the Nexus of Measurement and Modeling
          • Probing Liquid Phases and f-Electron Systems at the Dynamic Compression Sector
          • Scalable and Accurate Simulation of Magnetized Plasmas
          • Simulation of High-Energy-Density Plasmas Using a Novel, Fully-Implicit, Particle-in-cell/Monte-Carlo Algorithm
          • Tailored Particle Sources Driven by Precision-Shaped Short-Pulse Laser Pulses
          • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
          • Using Nano-Structured Targets and Ultra-Intense Lasers for Nuclear Science and Source Development
          • X-Ray Optics Solutions for Studying Mesoscale Science
        • High-Explosives Physics Chemistry and Material Science
          • Experimentally Interrogating Detonation Chemistry on Sub-nanosecond to 100-nanosecond Timescales
          • Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic X-Ray Diffraction
          • Unlocking the Mysteries of High-Explosive Science
        • High-Performance Computing Simulation and Data Science
          • Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation
          • Active Learning for Rapid Design of Vaccines and Antibodies
          • Advanced Physics Models for Particle-to-Particle Interactions
          • An Experimentally Validated Synergistic Membrane Model
          • Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
          • Automated Software Integration
          • Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids
          • Beating Monte Carlo: The Polynomial Method in Lattice Problems
          • Cross-Scale Modeling for Component Scale Simulations
          • DENAS: Deep Neuroevolution at Scale
          • Decentralized Autonomous Networks for Cooperative Estimation
          • Efficient Reduced-Order Models for Multi-Physics Simulations
          • Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations
          • Heterogeneous Computing Elements: A Quantitative Evaluation
          • High-Performance Parallel Simulations for Whole-Cell Modeling
          • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
          • Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales
          • Knowledge-Driven Machine Learning
          • Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction
          • MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments
          • Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction
          • Modeling Complex Behavior of Lattices to Enable Multiscale Design
          • Next Generation Machine Learning
          • Optimal High-Order Solvers
          • Probabilistic Models for Dynamic Hypergraphs with Content
          • Reliable Linear Solvers in Unreliable Computing Environments
          • Robust Control of Scientific Simulations with Deep Reinforcement Learning
          • Safe and Trustworthy Machine Learning
          • Scalable Motif-Driven Parallel Generative Adversarial Net for Community Detection
          • Scalable Multilevel Training of Large Neural Networks
          • Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing
          • The Applicability of Unit Systems to High-Performance Computing Applications
          • Using a Compressed Format for Floating-Point Data as a Data Type to Create Adaptive-Precision Compressed Arrays
        • Lasers and Optical Science and Technology
          • Beam-Combined Pulsed Fiber Lasers
          • Defects Suppression in Process-Optimized High Power and Energy Multilayer Dielectric Coated Optics
          • Energy Scaling of Thin-Disk Lasers
          • Exploring Fabrication of Ultra-low Absorption, Multilayer, Hafnium High Reflectors
          • Extending the Reach of Extreme Ultraviolet Instruments: A New Method for Measuring the Refractive Index of Materials
          • Freeform Optics
          • Germanium Photodiode Arrays for Hard X-Ray Imaging
          • Gestalt Optics: Three-Dimensional Transparent Ceramics
          • Glass Preforms for Next-Generation Fiber Lasers
          • Glass-Engraved Meta-Optics for High-Power Lasers
          • High-Energy Advanced Thermal Performance
          • Ionization-Based Optical Structures for the Control of Short-Pulse Lasers
          • Local Energy Matter Interactions and Materials Response in Hypersonic Environments
          • Modelocked Oscillator with Planar Gaussian Optics
          • Next-Generation Beam Quality for Deployed Laser Systems
          • Plasma Photonics: Manipulating Light Using Plasmas
          • Programmable Time-Varying Spectral Encoding for Advanced Control of High-Energy, High-Power Laser Systems
          • Revisiting the Critical Physics for Passing Energetic Laser Pulses through Air
          • Robust High-Power Diodes for Next Generation Laser Systems
          • The Physics of Confined Laser Ablation and Its Applications
          • Thulium-Doped Yttrium Lithium Fluoride High-Energy Laser Demonstrator
          • Ultrafast Operation of High-Average-Power, High-Energy Thulium Lasers
          • Ultrafast Plasma Optics for High-Power Coherent Light Sources
        • Nuclear Chemical and Isotopic Science and Technology
          • A Search for Sterile Neutrino Dark Matter
          • Addressing Unresolved Questions About the Solar System with New Lunar Samples from the Apollo Missions
          • Beta Decay at the Limits of Nuclear Stability: Integrating Ab Initio Calculations and Kinematically Complete Measurements
          • Constraining the Habitability of Mars When Water Flowed on Its Surface
          • Constraining the Origin of Earth’s Water with Isotope Tracers in Astromaterials
          • Cosmogenic Tracers to Reveal the Sensitivity of Groundwater-Dependent Ecosystems to Changing Climate
          • Deciphering Fingerprints of Stellar Nucleosynthesis Through Nuclear Reaction Rate Measurements and Isotopic Analyses of Stardust
          • Development of Novel Ligand-Based Systems to Study the Chemical Properties of the Transactinides
          • Earth’s Leaky Core: Identifying Signatures of Core Materials in the Lithosphere
          • Elusive Actinium: A First Glimpse into the Coordination Chemistry of Element 89
          • Fission with Exotic Nuclei
          • Fission-Product Decay Studies at the Facility for Rare Isotope Beams Decay Station
          • How Rapid is the Rapid Neutron Capture Process?
          • Identifying the Influence of Environmental Effects on Post-Detonation Chemistry and Debris Formation
          • Investigating the Site of the Weak Rapid Neutron Capture Process
          • Microresonators for Compact Optical Sensors
          • Nuclear Analytics: Enabling New Multimodal Approaches to Nuclear Threat Detection
          • Nuclear Reaction Theory for Astrophysics and Laboratory Applications
          • Nuclear Reaction Theory in the Precision Era: Probing New Physics in the Early Universe
          • Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
          • Proliferation of Interstellar Plutonium into the Solar System
          • Redefining the Geologic Timescale of the Solar System by Accurately Determining the Half-Life of Samarium-146 with Magnetic Microcalorimeters
          • Reverse-Engineering the Neutron-Nucleus Interaction
          • The Incredible Shrinking Proton
          • The Next Breakthroughs in Neutrino Physics
          • The Nuclear Science of Asteroid 16 Psyche
          • Two Nucleon Interactions and Their Effect on the Visible Universe and the Dark Universe
          • Ultrahigh-Resolution X-Ray Spectroscopy Using Cyclotron Radiation Emission
          • Understanding Angular Momentum in Nuclear Fission
          • Using Isotope Probing of Microbe-to-Microbe Interactions to Determine the Fate of Carbon and Impacts on Climate Change
          • Using Moderately Volatile Elements to Understand the Origin of the Earth-Moon System
          • Utilizing Radioactive Isotopes Harvested at the Facility for Rare Isotope Beams for Neutron-Reaction Measurements
        • Nuclear Threat Reduction
          • Compact Readout for an Intelligent Segmented Autonomous Neutron Directional Detector
          • Deployable, Automated Chemistry-on-a-Chip Platform for Nuclear Forensics
          • Developing Compositional Control During Additive Manufacturing of Surrogate Debris Reference Materials and Microanalytical Standards
          • Development of the Uranium-236, Uranium-238 Signature for Pre-Detonation Nuclear Forensics
          • Modeling Nuclear Cloud Rise and Fallout in Complex Environments
          • Narcissus-Enabled Compact Thermal Hyperspectral Imager
          • Nuclear Resonance Transmission Analysis Using a Vehicle-Portable Source
          • Optimal Giant Detectors
          • The Next Frontiers in Rare-Event Detection for Science and Security
          • Toward a Predictive Exascale-Class Hypersonic Simulation Capability for Damage Lethality Assessment and Weapons Environment Characterization
        • Nuclear Weapons Science
          • Development of a Multidimensional, Holographic Velocity Interferometer System
          • Fission Experiments in Laser-Generated Plasmas
          • Laser-on-Wheels: A Study to Determine Feasibility
          • On-Demand Deterministic Entangled Photon Source
          • Project DarkStar: Controlling Material Deformation
          • Sirius Mini: A Prototype Disruptive Accelerator Architecture for Next-Generation Inertial Confinement Fusion Systems
        • Quantum Science and Technology
          • Expanding Control of Quantum Processor Units
          • Nuclear Dynamics on a Quantum Chip
          • Quantum Computing with Trapped Electrons
          • Radiofrequency-Photonic Control Interface for Scalable, High Speed Quantum Computing
          • Scalable Quantum Optimal Control
          • Single Photon Emission from Vanadium Defects in Silicon Carbide
          • Topological Materials for Quantum Computing
        • Space Security
          • Asteroid Science in the Era of the Large Synoptic Survey Telescope
          • Multivariate Gaussian Process Surrogate Models in High Dimensions
          • Observing Atmospheric Gravity Waves from Space
          • Revealing the Physics of the Hot and Energetic Universe via Single-Photon-Counting Advanced X-Ray Microcalorimeter Systems
          • Tunable Optoelectronic Materials for Next-Generation Infrared Detectors
    • FY2020
      • Program Overview
        • Program Accomplishments
        • Program Description
        • Program Value
      • Advanced Materials and Manufacturing
        • A New Science-Based Paradigm Enabling Microstructure-Tailored Additive Manufacturing of Metals
        • Accelerated Multi-Modal Manufacturing Optimization
        • Accelerating Feedstock Optimization Using Computer Vision, Machine Learning, and Data Analysis Techniques
        • Acoustic and Electromagnetic Characterization for Accelerated Development of Additive Manufacturing
        • Advanced Manufacturing of Net-Shape Leading Edge Geometries for Hypersonic Flight
        • Advanced Photopolymer Materials Engineering for Multiscale Additive Fabrication
        • Advanced Quantitative Metrology and Characterization for Manufacturing
        • Characterizing Materials for Quantum Computing
        • Climbing Over Energy Barriers: A New Paradigm for Accelerating Kinetics
        • Developing an Understanding and Control of Electrochemical Deposition Processes for Functional Coatings on Complex Three-Dimensionally Printed Substrates
        • Developing and Characterizing New Tools for Actinide Processing Science
        • Development of Additive-Manufacturing Inks with Embedded Electronics for Programmable Matter
        • Development of Magnetic Nanostructures and Their Composites for Efficacious and Lightweight Millimeter Wave Absorbers
        • Dual Wavelength Negative Imaging Digital Light Processing Stereo Lithographic Apparatus
        • Exascale-Ready Modeling to Predict Recrystallization in High-Temperature Materials
        • Functional Photoresists for Energy Applications
        • Glass Inks for Three-Dimensional Printed Fiber Preforms and Telescope Optics
        • High Energy Density Supercapacitors
        • High-Resolution Three-Dimensional Imaging via X-Ray Reflectometry and Phase-Contrast Computed Tomography
        • Hydrogen Embrittlement-Resistant High-Entropy Alloys with High Strength and Ductility
        • In Situ Diagnostics for Accelerated Fabrication and Manufacturing of Advanced Materials
        • Influence of Process Parameters and Alloy Composition on Crack Mitigation in Selective Laser Melting
        • Laser Powder Bed Fusion Additive Manufacturing In-Process Monitoring and Optimization Using Thermionic Emission Detection
        • Laser Processing of Solid-State Lithium Batteries
        • Magnetostrictive Materials for Enhanced Sensors and Electronic Components
        • Materials with Embedded Microstructural Logic
        • Mid- and High-Z Doping of High Purity, Density Tunable Amorphous Carbon Films on Complex Geometries
        • Parallel Two-Photon Lithography Using a Metalens Array
        • Pattern Formation in Concurrent Multiscale Simulation: A Breakthrough in Understanding Metal Behavior
        • Porous Metals via Ice Templating
        • Predicting and Controlling Corrosion
        • Rapid Closed-Loop Control of Additive Manufacturing with Machine Learning
        • Sculpting Non-Machinable Porous Materials
        • Shape Changing of Responsive Elastomer Structures
        • Super-Strong, Micrometer-Thin Carbon Nanotube Yarns
        • Toward Wearable Artificial Intelligence: Flexible Nanocrystal Memristors That Mimic Multilevel Synaptic Functions
        • Transforming Living Materials into Chemical Reactors
        • Ultrathick Boron Carbide Coatings
        • Understanding Material Strength Variabilities and Uncertainties for Component Qualification
      • Bioscience and Bioengineering
        • A Computational Approach to Improve Prediction of Off-Target Drug Binding Using Membrane Bilayer Effects
        • A Deep Bayesian Active Learning Framework for Temporal Multimodal Data
        • Antibacterial Minerals: A Geochemical Approach to Combating Antibiotic Resistance
        • Bioprinting Breast Cancer In Situ to Study Cell Communication in Disease Progression
        • Bioprinting of Engineered Biofilms for Microbial Electrosynthesis
        • Boot Camp Bugs: Microbiomes of US Infantry Trainees
        • Delivering Ribonucleic Acid Vaccines Using Nanoparticles
        • Direct Visualization of Structural Maintenance of Chromosomes by Protein-Mediated Loop Extrusion Using High-Speed Atomic Force Microscopy
        • Elucidating Algal–Bacterial Community Interactions by Tracking Volatile Biomarkers
        • Engineered and Instrumented Three-Dimensional Tumor-Immune Model System
        • Flexible and High-Density Nerve Interface for Peripheral Neuromodulation
        • Incorporation of Carbon Electrodes on Flexible Microelectrode Arrays
        • Longitudinal Monitoring of Ribonucleic Acid Content of a Live Cell with a Nanotube Pore Interface
        • Metamaterials for Mechanically Directing Cell Phenotype
        • Microbial Characterization of Combat-Patient Wounds to Improve Healing
        • Microbiome Controls on Harmful Algal Toxin Production in Lake Erie
        • Molecular Mechanisms of Bacterial Pathogenesis: Waging the Arms Race with Superbugs
        • Optical Interconnect for High-Density Neural Signals
        • Rapid Detection of Candidates for Vaccines Against Biothreat Agents
        • Stable Isotope Probing and Viromics: Quantifying Virus-Host and Carbon Cycling Dynamics in Soil with Isotope-Targeted Metagenomics
        • Synthetic Biology for Nuclear Activity Detection
        • Three-Dimensional Bioprinted Aneurysm for Intervention Modeling Validation
        • Using High-Dimensional Omics Data to Identify Therapeutic Strategies for Promoting Tissue Repair and Regeneration
        • Using Microscale Models to Enhance Predictions of Damage to Soft Tissues
        • Vanishing Neural Probes: Chronic Implants on Resorbable Substrates
      • Chemical and Biological Countermeasures
        • Bioprinting Transgenic Plant Cells for Chemical and Biological Countermeasure Production
        • Building a Computational and Experimental Rapid Response Pipeline to Counter the Coronavirus Disease 2019 Outbreak and Emerging Biothreats
        • Construction of Genetic Sense-and-Respond Modules to Detect Viral Infection
        • Engineering Yeast Biosensors for Pathogen Detection
        • Identifying Potential Antiviral Small Molecules Against the Coronavirus Disease 2019
        • Profiling Neurological Consequences and Susceptible Populations of Chronic Opioid Use
        • Quantum Cascade Lasers with Submicrosecond Tuning Speed for the Detection of High Explosives and Chemical Warfare Agents
        • Rapid Computational Identification of Therapeutic Targets for Pathogens
        • Vaccination on the Fly: The Use of Mosquitoes to Vaccinate Bat Populations That Harbor Human Pathogens
      • Cybersecurity and Cyber–Physical Resilience
        • A Quantitative Methodology for Measuring Cyber Risk to Critical Infrastructure
        • Addressing Qubits with a Software-Defined Radio Field Programmable Gate Array
        • Exploration of In-Memory Analytics
        • Fo'c'sle: Trustworthy Firmware Updates for Energy Control Systems
        • Industrial Control Systems Network Mapping and Data Analytics for Cybersecurity
        • Learning Neural Activation Manifolds for Secure Artificial Intelligence
        • Predictive Modeling of Correlated Noise in Superconducting Circuits
      • Directed Energy
        • Compact High Efficiency Electrically Tunable Amplifier (CHEETAh)
        • Scalable Computational Tools for Predicting Fluid-Structure Interactions in Laser Directed Energy Applications
      • Earth and Atmospheric Science
        • Advancing Measurements and Understanding of the Rate and Structure of Atmospheric Warming
        • Dating Alluvial Landforms to Understand the Role of Climate in California's Water Supply
        • Deeply Rooted: Evaluating Plant Rooting Depth as a Means for Enhanced Soil Carbon Sequestration
        • Improved Seismic Monitoring for National and Energy Security with Earth Models from Full Waveform Inversion
        • Interseasonal Prediction of Western United States Snowpack with Deep Learning
        • Measuring Atmospheric Gas Using Small Satellites
        • Probabilistic Predictions and Uncertainty Estimation for Radiological and Nuclear Effects Modeling
        • Understanding Carbon Accumulation Below Ground and the Role of Nutrients under Rising Carbon Dioxide Levels
        • Understanding Urban and Wildland Fire Dynamics
      • Energy and Resource Security
        • Algebraic Multigrid Preconditioners for Scalable Simulation of Reservoir Geomechanics and Multiphase Flow
        • Development of Operando Nuclear Magnetic Resonance Capabilities for Solid-State Battery Research
        • Enabling Optimized Charging of Electric Vehicles in Mobility Services
        • Functional Metal Coatings on Three-Dimensional Substrates
        • High-Flux Electrochemical Synthesis of Ammonia in Ionic Liquid FY20
        • Hot Plasma Etching of Gallium Nitride
        • Improving Durability in the Next Generation of Photovoltaic Materials through Discovery and Mitigation of Interface-Based Degradation Mechanisms
        • Manufacturing Molecules for the Carbon Economy
        • New Experiment–Theory Capability for Atomic-Level Imaging of Interfaces in Solid-State Batteries
        • Per- and Polyfluoroalkyl Substances Removal from Water by Plasmonic-Photocatalysis
        • Selective Removal of Ions from Aqueous Solutions
      • High-Energy-Density Science
        • Accurate Temperature Determination from X-Ray Diffraction and X-Ray Absorption Measurements
        • Behavior and Utility of Flow or Turbulence in Compressing Plasma
        • Capturing a New State of Matter: Relativistic Electron-Positron Plasma
        • Development of Beryllium Carbide Capsules for Inertial Confinement Fusion Implosions
        • Development of Multilayer Laue Lenses for 25 Kilo-Electronvolt X-Ray Imaging
        • Development of Secondary Toroidal Diamond Anvil Cell Gaskets for Highly Compressible Low-Z Sample Containment at Pressures Above 4 Megabars
        • Direct Measurement of Mass-Temperature Distributions in the Core of Implosions on the National Ignition Facility
        • Establishing a Laser-Driven Megaelectronvolt X-Ray and Neutron Radiographic Capability
        • Exploring Laser-Produced Relativistic Pair Plasma Jets
        • Foams in Hohlraums
        • Generating Extreme Magnetic Fields by Engineering Short-Pulse Laser Targets
        • Imaging Dynamics of Defects Far from Equilibrium
        • Laser-Plasma Interactions in Magnetized Environments
        • Magnetically Assisted Ignition
        • Metal Ejecta: Transport, Interaction, and Recollection
        • New Design for Low-Mode Asymmetry Mitigation in Inertial Confinement Fusion Implosions
        • Next-Generation Hohlraums for High Coupling Efficiency
        • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
        • Plasma Transport at the Nexus of Measurement and Modeling
        • Pressure Ionization in Ultrahigh-Density Plasmas
        • Probing Liquid Phases and f-Electron Systems at the Dynamic Compression Sector
        • Quantum Leap for Fusion Energy Sciences
        • Quantum Non-Equilibrium Dynamics of Electronic Transport in Nonlinear Regimes
        • Scalable and Accurate Simulation of Magnetized Plasmas
        • Simulating Magnetized Particle Dynamics in Z-Pinch Plasmas
        • Tailored Particle Sources Driven by Precision-Shaped Short-Pulse Laser Pulses
        • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
        • Using Nano-Structured Targets and Ultra-Intense Lasers for Nuclear Science and Source Development
        • X-Ray Optics Solutions for Studying Mesoscale Science
      • High-Explosives Physics, Chemistry, and Material Science
        • Imaging of Defects in Polymer Structures Using Water as a Detection Marker: The Search for Appropriate Illumination Sources and Signal Processing Methods
        • Metal-Phthalocyanine Superlattices: Exploring Quantum Devices as a New Paradigm for Sensing Applications and Information Storage
        • Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic X-Ray Diffraction
        • Unlocking the Mysteries of High-Explosive Science
      • High-Performance Computing, Simulation, and Data Science
        • Accelerated and Disaggregated Cognitive Simulation
        • Active Control of Turbulent Flows through Deep Learning
        • Active Learning for Rapid Design of Vaccines and Antibodies
        • Advanced Physics Models for Particle-to-Particle Interactions
        • Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era
        • Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids
        • Beating Monte Carlo: The Polynomial Method in Lattice Problems
        • Decentralized Autonomous Networks for Cooperative Estimation
        • Deep Multitask Learning for Predictive Oncology
        • Floating Point Reproducibility for Accelerator-Based Systems
        • Heterogeneous Computing Elements: A Quantitative Evaluation
        • High-Fidelity, Scalable Quantum Qubit Control Signal Generation
        • High-Order Finite Elements for Thermal Radiative Transfer on Curved Meshes
        • High-Performance Parallel Simulations for Whole-Cell Modeling
        • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
        • MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments
        • Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction
        • Materials Response Under Hypersonic Flow Conditions Probed by Multimodal Diagnostics in a Benchtop Wind Tunnel
        • Measuring the Interpolation Quality of Trained Neural Networks
        • Methods for Explainable Artificial Intelligence
        • Modeling Complex Behavior of Lattices to Enable Multiscale Design
        • Next Generation Machine Learning
        • Nonlinear Manifold-Based Reduced Order Models
        • Nonlinear Spatial Discretization Using Sparse Grids
        • Optimal High-Order Solvers
        • Optimizing Performance Through Parallelism-Aware Compilation
        • Persistent Concurrent Data Structures
        • Probabilistic Models for Dynamic Hypergraphs with Content
        • Robust Control of Scientific Simulations with Deep Reinforcement Learning
        • Safe and Trustworthy Machine Learning
        • Scalable Approximate Graph Clustering
        • Scalable Multilevel Training of Large Neural Networks
        • Simulations of Interpenetrating Plasma
        • The Development of High-Order Interface Tracking Schemes for the Simulation of Multiphase Flows
        • XPlacer: Extensible and Portable Optimizations of Data Placement in Memory
      • Lasers and Optical Science and Technology
        • Anti-Reflective Meta-Surfaces (ARMS) for High-Power Lasers
        • Arbitrary Control and Characterization of Laser Waveforms and Interactions at Picosecond Resolution over Long Record Lengths
        • Assessment of Laser-Damage Performance of Meta-Surface Material to Enable High-Speed Laser Beam Control
        • Beam Homogenization of Laser Drivers for High-Energy, Large-Aperture Optical Parametric Chirped-Pulse Amplification
        • Defects Suppression in Process-Optimized High Power and Energy Multilayer Dielectric Coated Optics
        • Energy Scaling of Thin-Disk Lasers
        • Extending the Reach of Extreme Ultraviolet Instruments: A New Method for Measuring the Refractive Index of Materials
        • Freeform Optics
        • Germanium Photodiode Arrays for Hard X-Ray Imaging
        • Gestalt Optics: Three-Dimensional Transparent Ceramics
        • Glass Preforms for Next-Generation Fiber Lasers
        • High-Energy Advanced Thermal Performance
        • Next-Generation Beam Quality for Deployed Laser Systems
        • Photonic Transceivers for Secure Radio Frequency Communications and Radar
        • Plasma Photonics: Manipulating Light Using Plasmas
        • The Physics of Confined Laser Ablation and Its Applications
        • Thulium-Doped Yttrium Lithium Fluoride High-Energy Laser Demonstrator
        • Time-Resolved Two-Dimensional Streak Camera
        • Ultrafast Plasma Optics for High-Power Coherent Light Sources
      • Nuclear Threat Reduction
        • Deployable, Automated Chemistry-on-a-Chip Platform for Nuclear Forensics
        • Developing Compositional Control During Additive Manufacturing of Surrogate Debris Reference Materials and Microanalytical Standards
        • Modeling Nuclear Cloud Rise and Fallout in Complex Environments
        • Narcissus-Enabled Compact Thermal Hyperspectral Imager
        • Pioneering Stable Isotope Signatures of Nuclear Proliferation
        • Probing Photon Fusion for New Physics at the Large Hadron Collider Using Proton Tagging
        • Short-Pulse Interrogation for Detection of Special Nuclear Materials
        • The Next Frontiers in Rare-Event Detection for Science and Security
      • Nuclear Weapons Science
        • Development of a Multidimensional, Holographic Velocity Interferometer System
        • Examining an On-the-Fly Movable Boundary Capability for Simulations of Unsteady High-Speed Aerothermodynamic Flows
        • Fission Experiments in Laser-Generated Plasmas
        • Flash X-Ray Computed Tomography for Three-Dimensional Characterization of Explosive Performance
        • Learning-Based Predictive Models: A New Approach to Integrating Large-Scale Simulations and Experiments
        • Quantifying Uncertainties of Microscopic Nuclear Theories
        • Sirius Mini: A Prototype Disruptive Accelerator Architecture for Next-Generation Inertial Confinement Fusion Systems
      • Nuclear, Chemical, and Isotopic Science & Technology
        • A Search for Sterile Neutrino Dark Matter
        • Addressing Unresolved Questions About the Solar System with New Lunar Samples from the Apollo Missions
        • Beta Decay at the Limits of Nuclear Stability: Integrating Ab Initio Calculations and Kinematically Complete Measurements
        • Connecting Nuclear Structure to Stellar Astrophysics: Neutron Skin in Tin Isotopes
        • Constraining the Habitability of Mars When Water Flowed on Its Surface
        • Constraining the Origin of Earth’s Water with Isotope Tracers in Astromaterials
        • Deciphering Fingerprints of Stellar Nucleosynthesis Through Nuclear Reaction Rate Measurements and Isotopic Analyses of Stardust
        • Developing Photonuclear Experimental Capabilities for Nuclear Science and Security
        • Development of Novel Ligand-Based Systems to Study the Chemical Properties of the Transactinides
        • Discovering the Nature of Neutrinos: How Nuclear Theory Will Advance this Grand Endeavor
        • Elusive Actinium: A First Glimpse into the Coordination Chemistry of Element 89
        • Establishing Hands-On Astrophysics at Lawrence Livermore National Laboratory
        • Identifying the Influence of Environmental Effects on Post-Detonation Chemistry and Debris Formation
        • Investigating the Site of the Weak Rapid Neutron Capture Process
        • Microresonators for Compact Optical Sensors
        • Nuclear Analytics: Enabling New Multimodal Approaches to Nuclear Threat Detection
        • Nuclear Reaction Theory for Astrophysics and Laboratory Applications
        • Nuclear Reaction Theory in the Precision Era: Probing New Physics in the Early Universe
        • Nuclear Reaction Theory in the Precision Era: Probing New Physics in the Early Universe
        • Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
        • Proliferation of Interstellar Plutonium into the Solar System
        • Redefining the Geologic Timescale of the Solar System by Accurately Determining the Half-Life of Samarium-146 with Magnetic Microcalorimeters
        • The Next Breakthroughs in Neutrino Physics
        • The Nuclear Science of Asteroid 16 Psyche
        • Two Nucleon Interactions and Their Effect on the Visible Universe and the Dark Universe
        • Ultrahigh-Resolution X-Ray Spectroscopy Using Cyclotron Radiation Emission
        • Understanding Angular Momentum in Nuclear Fission
        • Using Isotope Probing of Microbe-to-Microbe Interactions to Determine the Fate of Carbon and Impacts on Climate Change
        • Using Moderately Volatile Elements to Understand the Origin of the Earth-Moon System
        • Utilizing Radioactive Isotopes Harvested at the Facility for Rare Isotope Beams for Neutron-Reaction Measurements
      • Quantum Science and Technology
        • Expanding Control of Quantum Processor Units
        • Nuclear Dynamics on a Quantum Chip
        • Scalable Quantum Optimal Control
        • Unconventional Superconductivity in a Focused-Ion-Beam-Decorated Topological Insulator
      • Space Security
        • A Search for Intermediate-Mass Black Hole Dark Matter
        • Asteroid Science in the Era of the Large Synoptic Survey Telescope
        • Integration of Quantification of Margins and Uncertainties Methodology into Parallel Discrete Event Simulator Framework
        • Observing Atmospheric Gravity Waves from Space
        • Revealing the Physics of the Hot and Energetic Universe via Single-Photon-Counting Advanced X-Ray Microcalorimeter Systems
        • Tunable Optoelectronic Materials for Next-Generation Infrared Detectors
      • Find a Project Report
    • FY2019
      • Overview
      • Find an FY19 Report
      • Research Categories
      • Advanced Materials and Manufacturing
        • Materials Informatics for Synthesis, Optimization, and Scale-Up of Advanced Materials
        • Parallel Two-Photon Polymerization for Sub-Micrometer Additive Manufacturing
        • Optimizing Engineered Flow-Through Electrodes for Energy Applications
        • Understanding Material Strength Variabilities and Uncertainties for Component Qualification
        • Rapid Closed-Loop Control of Additive Manufacturing with Machine Learning
        • Quantum Levitation of Fuel Capsules for Inertial Confinement Fusion
        • In Situ Diagnostics for Accelerated Fabrication and Manufacturing of Advanced Materials
        • Film Growth Dynamics During Pulsed Sputter Deposition
        • Computational Design Automation
        • Functional Photoresists for Energy Applications
        • Porous Metals via Ice Templating
        • Influence of Process Parameters and Alloy Composition on Crack Mitigation in Selective Laser Melting
        • Multiscale Model for Chemical Degradation of Materials
        • Directly Probing Spin Fluctuations in Quantum Spin Liquids with X-Ray Free Electron Lasers
        • Metallopolymers as an Emergent Class of Materials for Additive Manufacturing of Graded Density Gold Foams
        • Developing and Characterizing New Tools for Actinide Processing Science
        • A New Science-Based Paradigm Enabling Microstructure-Tailored Additive Manufacturing of Metals
        • Climbing over Energy Barriers: A New Paradigm for Accelerating Kinetics
        • Transforming Living Materials into Chemical Reactors
        • Gestalt Optics: Three-Dimensional Transparent Ceramics
        • Acoustic and Electromagnetic Characterization for Accelerated Development of Additive Manufacturing
        • Advanced Photopolymer Materials Engineering for Multiscale Additive Fabrication
        • Materials with Embedded Microstructural Logic
        • Glass Inks for Three-Dimensional Printed Fiber Preforms and Telescope Optics
        • High-Resolution Three-Dimensional Imaging via X-Ray Reflectometry and Phase-Contrast Computed Tomography
        • Exascale-Ready Modeling to Predict Recrystallization in High-Temperature Materials
        • Amorphous Carbon Coatings with Controlled Density and Composition
        • Laser-Based Defect Reduction in Wide Bandgap Semiconductors Used in Radiation-Voltaics Devices: Radiation Hardening and Annealing
        • Laser-Based Defect Reduction in Wide Bandgap Semiconductors Used in Radiation-Voltaics Devices: Radiation Hardening and Annealing
        • Laser Powder Bed Fusion Additive Manufacturing In-Process Monitoring and Optimization Using Thermionic Emission Detection
        • Large Volume Paste Projection Microstereolithography
        • Investigation of Computational Corrections to X-Ray Computed Tomography for Dimensional Metrology of Complex Additively Manufactured Parts
        • Nanoscale Three-Dimensional Printing of Metallic Structures via Femtosecond Projection Two-Photon Reduction
        • Unconventional Superconductivity in a Focused-Ion-Beam-Decorated Topological Insulator
        • Development of Additive-Manufacturing Inks with Embedded Electronics for Programmable Matter
        • Accelerating Feedstock Optimization Using Computer Vision, Machine Learning, and Data Analytic Techniques
      • Bioscience and Bioengineering
        • Characterizing Host-Pathogen Immunity Gut-Brain Interactions
        • Engineering a Therapeutic Microbe for Infection-Site Delivery of Encapsulated Antimicrobial Peptides
        • Synthetic Biology and Computational Modeling for Prediction of Viral Virulence
        • Microbial Characterization of Combat-Patient Wounds to Improve Healing
        • Computational Design of Broadly Neutralizing Vaccines for Highly Mutable Pathogens
        • Three-Dimensional Bio-Printed Microenvironments for Studying Cancer Metastasis
        • Investigating the Role of Innate Immunity in Viral Encephalitis Caused by Rift Valley Fever Virus
        • An Investigational Platform of the Human Brain for Understanding Complex Neural Function
        • Longitudinal Monitoring of Ribonucleic Acid Content of a Live Cell with a Nanotube Pore Interface
        • A Computational Approach to Improve Prediction of Off-Target Drug Binding Using Membrane Bilayer Effects
        • Stable Isotope Probing and Viromics: Quantifying Virus-Host and Carbon Cycling Dynamics in Soil with Isotope-Targeted Metagenomics
        • Optical Interconnect for High-Density Neural Signals
        • Detection of Upwind Pathogens Using Aircraft and Ground Stations
        • A Handheld Medical Diagnostic Device for Harsh Environments
        • Bioprinting Breast Cancer In Situ to Study Cell Communication in Disease Progression
        • Brain Connectomics: Opportunities for High-Performance Computing
        • The Mechanochemical Genesis of Prebiotics
        • Innate Persistence of Human Immune Memory T Cells
        • Rapid Detection of Candidates for Vaccines Against Biothreat Agents
        • Catching Villains: Finding Single Cells Responsible for Cancer Drug Resistance and Metastasis
        • Protein Factory on a Chip for Rapid Therapeutics
        • Toward Artificial Neurons: Biomimetic Signal Propagation in Synthetic Nanochannel Systems
        • A Machine Learning System to Guide Clinical Procedures in Real-Time
        • A Deep Bayesian Active Learning Framework for Temporal Multimodal Data
        • Preparing Circulatory Modeling Code for Exascale Computing
        • Elucidating Algal-Bacterial Community Interactions by Tracking Volatile Biomarkers
        • Imaging Macromolecular Structural Dynamics with Low-Dose, Time-Resolved Transmission Electron Microscopy
        • Metamaterials for Mechanically Directing Cell Phenotype
        • Using Microscale Models to Enhance Predictions of Damage to Soft Tissues
        • Three-Dimensional Bioprinted Aneurysm for Intervention Modeling Validation
        • Antibacterial Minerals: A Geochemical Approach to Combating Antibiotic Resistance
        • Molecular Mechanisms of Bacterial Pathogenesis: Waging the Arms Race with Superbugs
        • Engineered and Instrumented Three-Dimensional Tumor-Immune Model System
      • Chemical and Biological Countermeasures
        • Learning Interactions in Complex Biological Systems
        • Construction of Genetic Sense-and-Respond Modules to Detect Viral Infection
        • Vaccination on the Fly: The Use of Mosquitoes to Vaccinate Bat Populations That Harbor Human Pathogens
        • Creating Feature Representations of Antibody–Antigen Complexes for Fast Binding Prediction with Machine Learning
        • Predicting Ionizing Radiation Exposure
      • Cybersecurity and Cyber–Physical Resilience
        • A Quantitative Methodology for Measuring Cyber Risk to Critical Infrastructure
        • Predictive Modeling of Correlated Noise in Superconducting Circuits
        • Industrial Control Systems Network Mapping and Data Analytics for Cybersecurity
        • Scalable Graph Motif Learning Capabilities for Operational Cyber Defense
        • Gas-Electrical Grid Coordination for Cross Infrastructure Resilience Enhancement
      • Directed Energy
        • Laser Beam Propagation Through Deep Turbulence
        • Optically Safer, Power-Scalable Laser Systems for Defense Applications
        • A Diamond Total-Internal-Reflection Photoconductive Switch
        • New Framework to Prevent Catastrophic Damage to Laser Diodes
        • Scalable Computational Tools for Predicting Fluid-Structure Interactions in Laser Directed-Energy Applications
      • Earth and Atmospheric Science
        • Fiber-Optic Acoustic Sensors for Geophysical Applications
        • Probabilistic Predictions and Uncertainty Estimation for Radiological and Nuclear Effects Modeling
        • Integrating climate model simulations and paleo data to constrain future drought risks over California
        • Measuring Atmospheric Gas Using Small Satellites
        • Advancing Measurements and Understanding of the Rate and Structure of Atmospheric Warming
        • Deeply Rooted: Evaluating Plant Rooting Depth as a Means for Enhanced Soil Carbon Sequestration
        • Interseasonal Prediction of Western United States Snowpack with Deep Learning
        • Earthquake Predictions on the Sierra High-Performance Computing System
        • Developing an Observation-Based Transfer Function for Climate Sensitivity
        • Using Passive Seismology to Map the Water within Critical Glacial Ice Sheets
        • Dating Alluvial Landforms to Understand the Role of Climate in California's Water Supply
      • Energy and Resource Security
        • Fullerene-Grafted Graphene as an Electrical Energy Storage Material
        • Selective Removal of Ions from Aqueous Solutions
        • Algebraic Multigrid Preconditioners for Scalable Simulation of Reservoir Geomechanics and Multiphase Flow
        • Construction of Solar Cells from Colloidal Nanocrystals Through Electrophoretic Deposition
        • Structure of Ionic Liquids Under Nanoconfinement in Energy Applications
        • Hot Plasma Etching of Gallium Nitride
        • Plasmonics-Enhanced Photocatalysis for Water Decontamination
        • Three-Dimensional Printed Segmented Electrodes for Water Desalination
        • Enabling Optimized Charging of Electric Vehicles in Mobility Services
        • Rational Design of Bifunctional Electrocatalysts for Rechargeable Metal–Air Batteries
        • Evolution of Induced Fracture Networks Using Machine Learning Correlation Image Analysis
        • Three-Dimensional Printing of Catalytic Electrodes for Solar-Driven Water-Splitting Devices
        • New Experiment–“Theory Capability for Atomic-Level Imaging of Interfaces in Solid-State Batteries
        • Manufacturing Molecules for the Carbon Economy
      • High-Energy-Density Science
        • Exploring Laser-Produced Relativistic Pair Plasma Jets
        • Kinetics of Incipient Stages of Phase Transitions
        • Understanding Plasma Divertor Detachment in Fusion Power Reactors
        • Effects of Pressure-Induced Ionization Potential Depression on Material Properties
        • Effects of Magnetic Fields on Transport in Laser-Driven Nonequilibrium Plasmas
        • The Design of a Solid-State Streak Detector
        • Investigation of Ultrahigh-Pressure Phase Transitions in Metals with a Toroidal Diamond Anvil Cell
        • A Short-Pulse, Laser-Driven Particle Beam Capability
        • Electrodeposition of Gradient-Density Metal Films from Ionic Liquids
        • Microphysics Studies of Hohlraum Dynamics
        • Foams in Hohlraums
        • Next-Generation Hohlraums for High Coupling Efficiency
        • Accurate Temperature Determination from X-Ray Diffraction and X-Ray Absorption Measurements
        • Simulating Magnetized Particle Dynamics in Z-Pinch Plasmas
        • Probing Liquid Phases and f-Electron Systems at the Dynamic Compression Sector
        • X-Ray Optics Solutions for Studying Mesoscale Science
        • Direct Measurement of Mass-Temperature Distributions in the Core of Implosions on the National Ignition Facility
        • Quantum Non-Equilibrium Dynamics of Electronic Transport in Nonlinear Regimes
        • Pressure Ionization in Ultra-High Density Plasmas
        • High-Fidelity Kinetic Modeling of Plasmas in Z-Pinch and Pulsed-Power Configurations
        • Exploring Deuterium-Tritium Gas-Filled Hohlraums as a High-Yield Neutron Source
        • Metal Ejecta: Transport, Interaction, and Recollection
        • Defining the Direction of Nuclear-Plasma Interaction Research at the National Ignition Facility
        • Imaging Dynamics of Defects Far from Equilibrium
        • Plasma Amplifiers to Enable Dramatic Increases in Laser Power and Energy to Access New Physical Processes
        • Unraveling the Physics and Chemistry of Water-Rich Mixtures at Extreme Pressures and Temperatures
        • Laser-Plasma Interactions in Magnetized Environments
        • Modeling Hydrodynamic Instabilities and Mix in Hohlraums
        • Development of Multilayer Laue Lenses for 25 Kilo-Electronvolt X-Ray Imaging
        • New Design for Low-Mode Asymmetry Mitigation in Inertial Confinement Fusion Implosions
        • Heavy-Metal Ceramic Hohlraums for Magnetically Assisted Ignition Targets
        • Development of Beryllium Carbide Capsules for Inertial Confinement Fusion Implosions
        • Quantum Leap for Fusion Energy Sciences
        • Establishing a Laser-Driven Megaelectronvolt X-Ray and Neutron Radiographic Capability
      • High-Explosives Physics, Chemistry, and Material Science
        • Characterizing Carbon Nucleation in Shocked Energetic Materials
        • Unlocking the Mysteries of High-Explosive Science
        • Three-Dimensional Microwave Imaging of Detonation Fronts
        • Metal-Phthalocyanine Superlattices: Exploring Quantum Devices as a New Paradigm for Sensing Applications and Information Storage
      • High-Performance Computing, Simulation, and Data Science
        • Control of Superconducting Quantum Circuits
        • High-Dimensional Spectral-Sampling Techniques
        • Detecting Data Races in High-Performance Computing
        • Simulation of Biased Random Walks in an Asynchronous Graph Framework
        • Projection-Based Model Reduction with Applications in Radiation Transport and Hydrodynamics Simulation
        • Multiple-Rate Integrators for Differential Equations
        • Modeling Thermal and Quantum Magnetic Fluctuations in Correlated Materials
        • Simulations of Interpenetrating Plasmas
        • Robust Decentralized Signal Processing and Distributed Control of Autonomous Sensor Networks
        • Large-Scale Multimodal Deep Learning for Nuclear Nonproliferation Analysis
        • Variable Precision Computing
        • High-Order Finite Elements for Thermal Radiative Transfer on Curved Meshes
        • XPlacer: Extensible and Portable Optimizations of Data Placement in Memory
        • Deep Multitask Learning for Predictive Oncology
        • Methods for Explainable Artificial Intelligence
        • The Development of High-Order Interface Tracking Schemes for the Simulation of Multiphase Flows
        • Engineering a Quantum Methuselah Using Phononic Band Gaps
        • Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning
        • Nuclear Dynamics on a Quantum Chip
        • Beating Monte Carlo: The Polynomial Method in Lattice Problems
        • Heterogeneous Computing Elements: A Quantitative Evaluation
        • Next Generation Machine Learning
        • Expanding Control of Quantum Processor Units
        • Scalable Multilevel Training of Large Neural Networks
        • Advanced Physics Models for Particle-Particle Interactions
        • High-Performance Parallel Simulations for Whole-Cell Modeling
        • Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids
        • Advanced Parameterizations for Topology Optimization via Projection
        • Prototyping Exascale Graph Analytics
        • Quantum Optimal Control Using High-Performance Computing
        • Evaluating Field-Programmable Gate Arrays with Proxy Applications
        • Machine Learning for Constitutive Modeling on an Exascale Computing Platform
        • MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments
      • Lasers and Optical Science and Technology
        • HDRScope—”The High Dynamic-Range Oscilloscope
        • Enhanced Surface Laser-Damage Resistance of Nonlinear Crystals
        • Science of Finishing of Novel Optical Materials
        • Technologies for High-Energy, Short-Pulse Laser Systems Beyond the Kilowatt Barrier
        • Minimizing Absorption on Optical Surfaces of Gas Lasers
        • Advanced Multilayer Systems for National Security
        • Anti-Reflective Meta-Surfaces (ARMS) for High-Power Lasers
        • Arbitrary Control and Characterization of Laser Waveforms and Interactions at Picosecond Resolution over Long Record Lengths
        • Energy Scaling of Thin-Disk Lasers
        • Plasma Photonics: Manipulating Light Using Plasmas
        • Short-Pulse Laser Ablation of Energetic Materials for Threat Object Interrogation
        • Germanium Photodiode Arrays for Hard X-Ray Imaging
        • The Physics of Confined Laser Ablation and Its Applications
        • Photonic Transceivers for Secure Radio Frequency Communications and Radar
        • Improving the Performance and Efficiency of Diode-Pumped, High-Power Lasers
        • Using Nanoparticle Sol Gels to Prepare Custom, High-Purity Optical-Fiber Preforms
        • Optical Sampler for Broad-Spectrum Sensing
        • Assessment of Laser-Damage Performance of Meta-Surface Material to Enable High-Speed Laser Beam Control
        • Time-Resolved Two-Dimensional Streak Camera
      • Nuclear, Chemical, and Isotopic Science & Technology
        • Nucleosynthesis for Science and Security
        • Uncovering the Origins of the Solar System with Cosmochemical Forensics
        • The Origins of Matter on Near-Exascale Supercomputing
        • An Alternative Rare-Event Detector
        • Probabilistic Modeling for Nuclear Fission and Heavy-Ion Collisions
        • Developing Photonuclear Experimental Capabilities for Nuclear Science and Security
        • The Next Breakthroughs in Neutrino Physics
        • Laying the Foundation for a Predictive Theory of Electroweak Nuclear Phenomena
        • Toward the World's First Nuclear Clock
        • Building a Predictive Fission-Rate Model
        • Micro-Resonators for Compact Optical Sensors
        • Development of Novel Ligand-Based Systems to Study the Chemical Properties of the Transactinides
        • Beta Decay at the Limits of Nuclear Stability: Integrating Ab Initio Calculations and Kinematically Complete Measurements
        • Nuclear Reaction Theory for Astrophysics and Laboratory Applications
        • Investigating the Site of the Weak Rapid Neutron Capture Process
        • Developing a Radiochemical Method to Measure Thermonuclear Detector Cross Sections
        • A Simple Search for Sterile Neutrino Dark Matter
        • Establishing Hands-On Astrophysics at Lawrence Livermore National Laboratory
        • Connecting Nuclear Structure to Stellar Astrophysics: Neutron Skin in Tin Isotopes
        • Using Moderately Volatile Elements to Understand the Origin of the Earth-Moon System
        • Proliferation of Interstellar Plutonium into the Solar System
        • Discovering the Nature of Neutrinos: How Nuclear Theory Will Advance This Grand Endeavor
        • Using Isotope Probing of Microbe-Microbe Interactions to Determine the Fate of Carbon and Impacts on Climate Change
        • Constraining the Origin of Earth's Water with Isotope Tracers in Astromaterials
      • Nuclear Threat Reduction
        • Pioneering Stable Isotope Signatures of Nuclear Proliferation
        • Modeling Nuclear Cloud Rise and Fallout in Complex Environments
        • Additive Manufacturing of Post-Detonation Surrogate Debris Reference Materials
        • Experimental Determination of the Uranium-239 Neutron Capture Reaction by Measurement of Uranium-240 by Accelerator Mass Spectrometry
        • Probing Photon Fusion for New Physics at the Large Hadron Collider Using Proton Tagging
        • Deployable, Automated Chemistry-on-a-Chip Platform for Nuclear Forensics
        • Rapid Laser Processing of Nuclear Debris
        • Efficient, Portable Radioxenon Collection for Nuclear Test Monitoring
        • Short-Pulse Interrogation for Detection of Special Nuclear Materials
      • Nuclear Weapons Science
        • Quantifying Uncertainties of Microscopic Nuclear Theories
        • Flash X-Ray Computed Tomography for Three-Dimensional Characterization of Explosive Performance
        • Development of a Low-Cost High-Throughput Ejecta Drive
        • Learning-Based Predictive Models: A New Approach to Integrating Large-Scale Simulations and Experiments
        • Examining an On-the-Fly Movable Boundary Capability for Simulations of Unsteady High-Speed Aerothermodynamic Flows
      • Space Security
        • Positioning, Navigation, and Timing with High-Accuracy Astrometry
        • Next-Generation Search for Solar Axion Dark Matter with the International Axion Observatory
        • Design and Optimization of Compact Multi-Mission Telescopes
        • A Search for Intermediate-Mass Black Hole Dark Matter
        • Integration of Quantification of Margins and Uncertainties Methodology into Parallel Discrete Event Simulator Framework
        • Tunable Optoelectronic Materials for Next-Generation Infrared Detectors
        • Photonic-Software-Defined Radio
        • Instrumenting a Fleet of Small Satellites for Monitoring the Earth's Upper Atmosphere
    • FY2018
      • Overview
        • Director's Statement
        • How to Read This Report
        • The Laboratory Directed Research and Development Program at LLNL
          • Oversight
          • Alignment with DOE, NNSA, and Laboratory Missions
          • Topics of Inquiry
          • Types of Projects
          • Structure of the FY18 Portfolio
          • Metrics
        • Research Highlights
        • Awards and Recognition
        • LDRD on Journal Covers (and TV)
        • The Long-Term Impacts of LDRD Investments: Centers for Strategic Partnerships
      • Advanced Materials and Manufacturing
        • Exploratory Research
          • A Design Platform for Electrochemical Conversion of Carbon Dioxide
          • A Diamond Total-Internal-Reflection Photoconductive Switch
          • Building Computerized Tomography Tools for Precision Additive Manufacturing
          • Electrodeposition of Gradient-Density Metal Films from Ionic Liquids
          • Film Growth Dynamics During Pulsed Sputter Deposition
          • Functional Photoresists for Energy Applications
          • Influence of Process Parameters and Alloy Composition on Crack Mitigation in Selective Laser Melting
          • In Situ Diagnostics for Accelerated Fabrication and Manufacturing of Advanced Materials
          • Materials Informatics for Synthesis, Optimization, and Scale-Up of Advanced Materials
          • Mesoscale Crystal Architectures
          • Optimizing Engineered Flow-Through Electrodes for Energy Applications
          • Parallel Two-Photon Polymerization for Sub-Micrometer Additive Manufacturing
          • Porous Metals via Ice Templating
          • Quantum Levitation of Fuel Capsules for Inertial-Confinement Fusion
          • Rapid Closed-Loop Control of Additive Manufacturing with Machine Learning
          • Three-Dimensional Bio-Printed Microenvironments for Studying Cancer Metastasis
          • Understanding Material Strength Variabilities and Uncertainties for Component Qualification
        • Feasibility Studies
          • An Adaptable Network-Based Method for Bonding Plastics
          • Bridging the Material Modeling Gap Between Research and Design
          • Carbons with Designed Chemistry and Porosity
          • Material Logic
          • Multiscale Model for Chemical Degradation of Materials
          • Solid Nanoadhesives for Precision Assembly
          • Wire-Arc Additive Manufacturing for Reactive Metals
        • Lab-Wide Competitions
          • Metallopolymers as an Emergent Class of Materials for Additive Manufacturing of Graded Density Gold Foams
          • Construction of Solar Cells from Colloidal Nanocrystals through Electrophoretic Deposition
          • Directly Probing Spin Fluctuations in Quantum Spin Liquids with X-Ray Free Electron Lasers
          • Unraveling Force Chains and Failure in Granular Materials
          • Nanometer-Particle Colloid Capsule Composites
        • Strategic Initiative
          • A New Science-based Paradigm Enabling Microstructure-Tailored Additive Manufacturing of Metals
          • Developing and Characterizing New Tools for Actinide Processing Science
          • Enhanced Coherence for Quantum Sensing and Simulation
      • Bioscience and Bioengineering
        • Exploratory Research
          • A Computational Approach to Improve Prediction of Off-Target Drug Binding Using Membrane Bilayer Effects
          • A Handheld Medical Diagnostic Device for Harsh Environments
          • An Experimental Platform and Model for Tumor Growth and Response to Therapeutics
          • Bioprinting Breast Cancer In Situ to Study Cell Communication in Disease Progression
          • Characterizing Host–“Pathogen Immunity Gut–“Brain Interactions
          • Computational Design of Broadly Neutralizing Vaccines for Highly Mutable Pathogens
          • Construction of Genetic Sense-and-Respond Modules to Detect Viral Infection
          • Detection of Upwind Pathogens Using Aircraft and Ground Stations
          • Engineering a Therapeutic Microbe for Infection-Site Delivery of Encapsulated Antimicrobial Peptides
          • Longitudinal Monitoring of Ribonucleic Acid Content of a Live Cell with a Nanotube Pore Interface
          • Microbial Characterization of Combat-Patient Wounds to Improve Healing
          • Multimodal Learning on Big Brain Data
          • Optical Interconnect for High-Density Neural Signals
          • Stable Isotope Probing and Viromics: Quantifying Virus-Host and Carbon Cycling Dynamics in Soil with Isotope-Targeted Metagenomics
          • Synthetic Biology and Computational Modeling for Prediction of Viral Virulence
          • The Engineered Micro-Sensor Array
        • Feasibility Studies
          • Brain Connectomics: Opportunities for High-Performance Computing
          • Exploring Growth Rate and Pathogenicity in Pathogens
          • Exploring the Use of Cell Wall Binding Domains to Purify Gram-Negative Bacteria from Bodily Fluids
          • New Approaches for Manufacturing and Evaluating Novel Bio-Inspired Materials
        • Lab-Wide Competitions
          • A Machine Learning System to Guide Clinical Procedures in Real-Time
          • Catching Villains: Finding Single Cells Responsible for Cancer Drug Resistance and Metastasis
          • Innate Persistence of Human Immune Memory T Cells
          • Investigating the Role of Innate Immunity in Viral Encephalitis Caused by Rift Valley Fever Virus
          • Nanometer-Scale, Particle-Based Immunotherapy for Cancer Treatment
          • Protein Factory on a Chip for Rapid Therapeutics
          • Rapid Detection of Candidates for Vaccines Against Biothreat Agents
          • Real-Time Exhaled Breath Analysis for Biosecurity and Biomedicine
          • The Mechanochemical Genesis of Prebiotics
          • Toward Artificial Neurons: Biomimetic Signal Propagation in Synthetic Nanochannel Systems
        • Strategic Initiative
          • An Investigational Platform of the Human Brain for Understanding Complex Neural Function
      • Chemical and Biological Countermeasures
        • Exploratory Research
          • Learning Interactions in Complex Biological Systems
      • Cybersecurity and Cyber–Physical Resilience
        • Exploratory Research
          • A Quantitative Methodology for Measuring Cyber Risk to Critical Infrastructure
          • Control of Superconducting Quantum Circuits
          • Predictive Modeling of Correlated Poise in Superconducting Circuits
      • Directed Energy
        • Exploratory Research
          • A Compact High-Power, Radio-Frequency Directed-Energy Source
          • Advanced Laser Diode Packaging
          • Exploring Laser Directed-Energy Lethality and Vulnerability
          • New Framework to Prevent Catastrophic Damage to Laser Diodes
          • Optically Safer, Power-Scalable Laser Systems for Defense Applications
      • Earth and Atmospheric Science
        • Exploratory Research
          • Advancing Measurements and Understanding of the Rate and Structure of Atmospheric Warming
          • Detection and Attribution of Climate-Driven Impacts on Crop Fields
          • Integrating Climate Simulations and Paleontology Data to Constrain California Drought Risks
          • Measuring Atmospheric Gas Using Small Satellites
          • Probabilistic Predictions and Uncertainty Estimation for Radiological and Nuclear Effects Modeling
          • Uncovering the Origins of the Solar System with Cosmochemical Forensics
        • Lab-Wide Competitions
          • Improving Subsurface Fluid Characterization by Coupling Seismic and Electromagnetic Phenomena
      • Energy and Resource Security
        • Exploratory Research
          • Accelerated Discovery of Advanced Combustion Fuels
          • Electron Energy Loss Spectroscopy of Liquids at Liquid-Solid Interfaces
          • Fiber-Optic Acoustic Sensors for Geophysical Applications
          • Fullerene-Grafted Graphene as an Electrical Energy Storage Material
          • High-Fidelity Fracture Model for Hydraulically Fractured Shale Reservoirs
        • Feasibility Studies
          • Determining the Rate of Patural Carbonate Precipitation Using Bomb-Pulse Radiocarbon Dating
          • Developing a Carbon Model for the U.S. Economy
          • Enhanced Removal of Inorganic Carbon from Seawater: A Carbon Mitigation Feasibility Study
          • Printed Biocatalysts for Patural Gas Upgrading
        • Lab-Wide Competitions
          • Hierarchical Nanometer-Scale Porous Copper Flow-Through Electrodes for Efficient Carbon Dioxide Reduction
          • Structure of Ionic Liquids Under Panoconfinement in Energy Applications
      • Forensic Science
        • Exploratory Research
          • Pioneering Stable Isotope Signatures of Nuclear Proliferation
        • Feasibility Studies
          • Long-Term Biomarkers of Chemical Agent Exposure
        • Strategic Initiative
          • Published Protein Based Human Identification
      • High-Energy-Density Science
        • Exploratory Research
          • A High-Fluence, High-Energy X-Ray Source Using Laser–“Plasma Instabilities
          • A Short-Pulse, Laser-Driven Particle Beam Capability
          • Accurate Temperature Determination from X-Ray Diffraction and Extended X-Ray Absorption Fine Structure Measurements
          • An Optical Interferometry Diagnostic for Hohlraum Plasma Characterization Experiments on the National Ignition Facility
          • Defining the Direction of Nuclear-Plasma Interaction Research at the National Ignition Facility
          • Effects of Magnetic Fields on Transport in Laser-Driven Ponequilibrium Plasmas
          • Effects of Pressure-Induced Ionization Potential Depression on Material Properties
          • Exploring Deuterium-Tritium Gas-Filled Hohlraums as a High-Field Neutron Source
          • Exploring Laser-Produced Relativistic Pair Plasma Jets
          • Extending Laser-Driven X-Ray Sources to High-Energy-Density Science Facilities
          • Foams in Hohlraums
          • High-Fidelity Kinetic Modeling of Plasmas in Z-Pinch and Pulsed-Power Configurations
          • High-Pressure Thermal Conductivity of Iron
          • Hybrid Drive on the National Ignition Facility
          • Imaging Dynamics of Defects Far from Equilibrium
          • Improving Density Functional Theory for Warm Dense Matter
          • In Situ Probes of Granular Media Under Compression
          • Investigation of Ultrahigh-Pressure Phase Transitions in Metals with a Toroidal Diamond Anvil Cell
          • Kinetics of Incipient Stages of Phase Transitions
          • Measuring Astrophysically Relevant Reaction Rates in a High-Energy-Density Laboratory
          • Measuring the Asymptotic Behavior of Self-Generated B Magnetic Fields in a Hohlraum Geometry
          • Metal Ejecta: Transport, Interaction, and Recollection
          • Metallic Helium at Extreme Density Inside Giant Planets and White Dwarf Stars
          • Microphysics Studies of Hohlraum Dynamics
          • New Quantum Simulation Capability for Ultrahigh-Temperature, High-Energy-Density Science
          • Next-Generation Hohlraums for High Coupling Efficiency
          • Numerical Simulations of Dust-Grain Collisions with Interstellar Spacecraft
          • Pressure Ionization in Ultra-High-Density Plasmas
          • Probing Liquid Phases and f-Electron Systems at the Dynamic Compression Sector
          • Probing the Interface Stability of Implosions
          • Quantum Non-Equilibrium Dynamics of Electronic Transport in Nonlinear Regimes
          • Simulating Magnetized Particle Dynamics in Z-Pinch Plasmas
          • Simulations of Interpenetrating Plasmas
          • Study of Iron K-Alpha Spectra in a Compact X-Ray Atmosphere
          • Study of Kinetic Plasma Dynamics and Field Degradation in Inertial Confinement Fusion
          • The Design of a Solid-State Streak Detector
          • Understanding Plasma Divertor Detachment in Fusion Power Reactors
          • X-Ray Optics Solutions for Studying Mesoscale Science
        • Feasibility Studies
          • Exploring the Feasibility of Using Corona Fusion Targets for Studying Plasma Interpenetration and Electron-Ion Equilibration
          • Laser-Driven Megavolt X-Ray and Neutron Source Optimization
          • One-Step Drop Generation of Low-Density Foam Shells
          • Thermal Conductivity Measurements in Convergent Geometry
      • High-Explosives Physics, Chemistry, and Material Science
        • Exploratory Research
          • Characterizing Carbon Pucleation in Shocked Energetic Materials
          • Controlling Detonative Phenomena with High-Explosives Material Architecture
        • Strategic Initiative
          • Unlocking the Mysteries of High-Explosive Science
      • High-Performance Computing, Simulation, and Data Science
        • Exploratory Research
          • Advanced Adaptive Optics Algorithms for Astronomical and X-Ray Applications
          • Algebraic Multigrid Preconditioners for Scalable Simulation of Reservoir Geomechanics and Multiphase Flow
          • Computational Framework for Data Assimilation and Uncertainty Management of Large-Dimensional Dynamics Models
          • Deep Multitask Learning for Predictive Oncology
          • Dependency Resolution for High-Performance Computing Software
          • Detecting Data Races in High-Performance Computing
          • Failure Recovery Abstractions for Large-Scale Parallel Applications
          • High-Dimensional Spectral-Sampling Techniques
          • Improving Simulation Workflows: A Data Analytics Approach
          • In-Memory Associative Indexing: An Approach to Efficient High-Performance Computing
          • Integration of Quantification of Margins and Uncertainties Methodology into Parallel Discrete Event Simulator Framework
          • Methods for Explainable Artificial Intelligence
          • Modeling Spatial and Temporal Coupling in High-Contrast Laser Grating Compressors
          • Modeling Thermal and Quantum Magnetic Fluctuations in Correlated Materials
          • Multiple-Rate Integrators for Differential Equations
          • Projection-Based Model Reduction with Applications in Transport and Hydrodynamics Simulation
          • Real-Time Decision Making in Swarm Situations Using Belief Networks
          • Robust Decentralized Signal Processing and Distributed Control of Autonomous Sensor Networks
          • Selective Removal of Ions from Aqueous Solutions
          • Simulation of Biased Random Walks in an Asynchronous Graph Framework
          • The Development of High-Order Interface Tracking Schemes for the Simulation of Multiphase Flows
          • Topology Optimization of Multifunctional Materials
          • XPlacer: Extensible and Portable Optimizations of Data Placement in Memory
        • Feasibility Studies
          • Compressed Numerics to Reduce Data Movement in Numerical Simulations
          • Engineering a Quantum Methuselah Using Phononic Band Gaps
          • Optimizing Application Performance in Multi-Constraint Computing Environments
          • Povel Methods for Predicting Properties of Complex Reactive Solid Interfaces
        • Lab-Wide Competitions
          • Discovering Phase Behavior of Materials Interfaces with Evolutionary Algorithms
        • Strategic Initiative
          • Computational Design Automation
          • Large-Scale Multimodal Deep Learning for Nuclear Nonproliferation Analysis
          • Learning-Based Predictive Models: A Pew Approach to Integrating Large-Scale Simulations and Experiments
          • Variable Precision Computing
      • Lasers and Optical Science and Technology
        • Exploratory Research
          • Active Adaptive Control of High-Energy, High-Repetition-Rate, Short-Pulse Lasers
          • Anti-Reflective Meta-Surfaces for High-Power Lasers
          • Arbitrary Control and Characterization of Laser Waveforms and Interactions at Picosecond Resolution over Long Record Lengths
          • ARCHER: Advanced Radiographic Capability–High Energy and Resolution
          • Energy Scaling of Thin-Disk Lasers
          • Enhanced Surface Laser-Damage Resistance of Nonlinear Crystals
          • HDRScope--The High Dynamic-Range Oscilloscope
          • Laser Beam Propagation Through Deep Turbulence
          • Mechanisms of Pulsed-Laser Ablation, Damage, and Failure in Various Classes of Materials
          • Minimizing Absorption on Optical Surfaces of Gas Lasers
          • Planar Ceramic Light Guides for Solar Concentrators and Laser Amplifiers
          • Plasma Photonics: Manipulating Light Using Plasmas
          • Science of Finishing of Novel Optical Materials
          • Technologies for High-Energy, Short-Pulse Laser Systems Beyond the Kilowatt Barrier
        • Feasibility Studies
          • Agile, Compact Monolithic Beam Director
          • Plasmonic Control of Short Pulses in Optical Fibers
        • Lab-Wide Competitions
          • Extreme Nonlinear Optics of Plasmas
        • Strategic Initiative
          • Advanced Multilayer Systems for National Security
          • Fabrication of Functionally Graded Optical Components Using Additive Manufacturing
      • Nuclear, Chemical, and Isotopic Science & Technology
        • Strategic Initiative
          • The New Frontier of Nuclear Science: Nuclear Reactions and Radiochemistry at the National Ignition Facility
        • Exploratory Research
          • An Alternative Rare-Event Detector
          • Developing Photonuclear Experimental Capabilities for Nuclear Science and Security
          • Laying the Foundation for a Predictive Theory of Electroweak Nuclear Phenomena
          • Nucleosynthesis for Science and Security
          • Probabilistic Modeling for Nuclear Fission and Heavy-Ion Collisions
          • The Next Breakthroughs in Neutrino Physics
          • The Origins of Matter on Near-Exascale Supercomputing
        • Feasibility Studies
          • Additive Manufacturing of Post-Detonation Surrogate Debris Reference Materials
          • Beyond Binary Reactions: A Generalized Microscopic R-Matrix Theory with Two- and Three-Particle Asymptotic Configurations
          • Feasibility of Low-Energy Nuclear Physics Research Using Livermore Capabilities and Beams at Other Facilities
          • Micro-Optical Gas Sensors
        • Lab-Wide Competitions
          • Building a Predictive Fission-Rate Model
          • Development of Integrated Systems for Discovering the Chemical Properties of the Heaviest Elements
          • Event-by-Event Determination of Antineutrino Direction
          • Modernizing the Fission Basis
          • Probing Photon Fusion for New Physics at the Large Hadron Collider Using Proton Tagging
          • Towards the World's First Nuclear Clock
      • Nuclear Threat Reduction
        • Exploratory Research
          • Modeling Nuclear Cloud Rise and Fallout in Complex Environments
        • Feasibility Studies
          • Experimental Determination of the Uranium-239 Neutron Capture Reaction by Measurement of Uranium-240 by Accelerator Mass Spectrometry
          • Short-Pulse Laser Ablation of Energetic Materials for Threat Object Interrogation
          • Vapor-Phase Spectroscopy of High-Explosives Chemistry with Tritium and Depleted Uranium
      • Nuclear Weapons Science
        • Exploratory Research
          • Deformation Mechanisms in Body-Centered Cubic Metals at High Pressures and Strain Rates
          • Direct Measurement of Mass-Temperature Distributions in the Core of Implosions on the National Ignition Facility
          • Emerging Radiography and Potential Diagnostic Applications
          • Flash X-Ray Computed Tomography for 3D Characterization of Explosive Performance
          • High-Order Finite Elements for Thermal Radiative Transfer on Curved Meshes
          • Inferring Nuclear Fireball Properties from Experimental Data
          • Quantifying Uncertainties of Microscopic Nuclear Theories
        • Feasibility Studies
          • Development of a Low-Cost High-Throughput Ejecta Drive
          • Exploratory Design Study Towards the First Plasma-Electron Screening Experiment
          • Feasibility of Predicting the Characteristics of the Ultraviolet, Visible, and Infrared Emissions from a Nuclear Explosion
          • Flexible Nondestructive Inspection for Multilayer Metallic Structures
      • Space Security
        • Exploratory Research
          • A Search for Intermediate-Mass Black Hole Dark Matter
          • Decoding the X-Ray Cipher of the Universe in the Laboratory
          • Design and Optimization of Compact Multi-Mission Telescopes
          • Image Analysis for Dark Energy and Space Surveillance Applications
          • Next-Generation Search for Solar Axion Dark Matter with the International Axion Observatory
          • Positioning, Navigation, and Timing with High-Accuracy Astrometry
        • Feasibility Studies
          • Machine-Based Quantification of Satellite Image Quality
    • FY2017
      • Overview
        • Director's Statement
        • How to Read This Report
        • The Laboratory Directed Research and Development Program at LLNL
          • Oversight
          • Alignment with DOE, NNSA, and Laboratory Missions
          • Topics of Inquiry
          • Types of Projects
          • Structure of the FY18 Portfolio
          • Metrics
        • Research Highlights
        • Awards and Recognition
        • LDRD on Journal Covers (and TV)
        • The Long-Term Impacts of LDRD Investments: Centers for Strategic Partnerships
      • Advanced Materials and Manufacturing
        • Advanced Synthesis and Characterization Techniques for Ultrahard Film Growth
        • Energetic Ligands for High-Power Metal Complexes
        • Physics of Laser-Assisted Advanced Manufacturing Processes
        • Microstructure Evolution During Rapid Solidification: In Situ Characterization and Mesoscale Modeling
        • Accelerated Development of Multiscale Materials
        • Rational Design and Optimization of Additively Manufactured Carbon-Fiber-Reinforced Composites
        • Manipulating Optical and Electromagnetic Properties Through Hierarchical Metamaterials
        • X-Ray Pump-and-Probe Experiments with a Free-Electron Laser
        • Freeze-Drying Aerosols: A Facile Route to Metal Particles with Nanometer-Scale Pores
        • Building Computerized Tomography Tools for Precision Additive Manufacturing
        • Materials Informatics for Synthesis, Optimization, and Scale-Up of Advanced Materials
        • Mesocrystal Architectures
        • Simulating X-Ray Free-Electron Laser Experiments for High-Energy-Density Science
        • Parallel Two-Photon Polymerization for Sub-Micrometer Additive Manufacturing
        • Radiation Processes in Nanometer-Scale Foams
        • Coating Hollow Objects with Uniform Low-Density Films
        • Electron-Beam-Induced Deposition of Boron Films
        • Directed Assembly of Block Copolymers for Optical Metamaterials at Visible Wavelengths
        • Enhanced Coherence for Quantum Sensing and Simulation
        • Understanding Material Strength Variabilities and Uncertainties for Component Qualification
        • Quantum Levitation of Fuel Capsules for Inertial-Confinement Fusion
        • In Situ Diagnostics for Accelerated Fabrication and Manufacturing of Advanced Materials
        • Electrodeposition of Gradient-Density Metal Films from Ionic Liquids
        • Film Growth Dynamics During Pulsed Sputter Deposition
        • A Diamond Total-Internal-Reflection Photoconductive Switch
        • Discrete Polycrsytal Plasticity Simulator Mid Career Award
        • Effects of Surface Defects on the Catalytic Activity of Semiconductors for Charge-Transfer Reactions in Liquids
        • Three-Dimensional Fabrication by Tomographic Holographic Lithography
        • Direct Ink Writing of Bulk Metallic Glasses
        • Material Logic
        • Additive Manufacturing of Nanometer-Scale Porous Metals
        • Nanometer-Particle Colloid Capsule Composites
      • Bioscience and Bioengineering
        • Analysis of a Metabolically Engineered Microbial Consortium for Optimal Production of Biofuels
        • Unraveling the Burkholderia Pathogen Infection
        • Engineering Bacterial Cell-Like Compartments as Platforms for Synthetic Biology
        • Characterizing Host-Pathogen Immunity Gut-Brain Interactions
        • Modeling Tissue Membranes
        • Simultaneous Peripheral Nerve Stimulation and Gastrointestinal System Monitoring
        • A "Peacock" Platform for Recording Cardiac Tissue Force
        • Enhancing Nitrogen Uptake in Sustainable Biofuels with Microbes
        • Engineering a Therapeutic Microbe for Infection-Site Delivery of Encapsulated Antimicrobial Peptides
        • Microbial Characterization of Combat-Patient Wounds to Improve Healing
        • Three-Dimensional Bio-Printed Microenvironments for Studying Cancer Metastasis
        • Using Population Genomics to Improve Genome Editing
        • Engineered and Instrumented 3D Tumor-Immune Model System
        • Investigating the Role of Innate Immunity in Viral Encephalitis Caused by Rift Valley Fever Virus
        • Nanometer-Scale, Particle-Based Immunotherapy for Cancer Treatment
        • An Investigational Platform of the Human Brain for Understanding Complex Neural Function
      • Chemical and Biological Security
        • Development of a Virtual Human Heart to Predict the Pharmacology of Novel Drugs
        • The Engineered Micro-Sensor Array
        • Modeling Mutagenic Chain Reactions in Natural Ecosystems
        • Approaches for Calibrating Agent-Based Models to Data
        • Biosensors for Sensitive and Cost-Effective Detection of Uranium Contamination
        • Synthetic Biology and Computational Modeling for Prediction of Viral Virulence
        • Learning Interactions in Complex Biological Systems
        • Computational Design of Broadly Neutralizing Vaccines for Highly Mutable Pathogens
        • Real-Time Exhaled Breath Analysis for Biosecurity and Biomedicine
      • Cyber Security, Space, and Intelligence
        • All-Source Data Fusion for Detecting and Monitoring Threats on a Global Scale
        • Integrated Physics-Based Noise Modeling of Qubit Devices
        • Image Analysis for Dark Energy and Space Surveillance Applications
        • Decoding the X-Ray Cipher of the Universe in the Laboratory
        • Forensic Science of Genetically Variant Peptides
        • Next-Generation Search for Solar Axion Dark Matter with the International Axion Observatory
        • Measuring Atmospheric Gas Using Small Satellites
        • Real-Time Decision Making in Swarm Situations Using Belief Networks
        • A Search for Intermediate-Mass Black Hole Dark Matter
        • Large-Scale Multimodal Deep Learning for Nuclear Nonproliferation Analysis
      • Earth and Atmospheric Science
        • In Situ Probes of Granular Media Under Compression
        • Uncovering the Origins of the Solar System with Cosmochemical Forensics
        • Fiber-Optic Acoustic Sensors for Geophysical Applications
        • Probabilistic Predictions and Uncertainty Estimation for Radiological and Nuclear Effects Modeling
        • Antropogenic radionuclide transient tracers: Model diagnostics and timescales of the redistribution of heat and carbon by the ocean.
        • Unraveling Force Chains and Failure in Granular Materials
        • Improving Subsurface Fluid Characterization by Coupling Seismic and Electromagnetic Phenomena
      • Energy and Climate Security
        • Dynamic Stimulation of Geologic Resources
        • Optimizing Engineered Flow-Through Electrodes for Energy Applications
        • Decomposition Methods for Power Grid Optimization
        • Increasing Capacity of Flow-Through Electrode Capacitive Desalination with Phased Charging
        • Accelerated Discovery of Advanced Combustion Fuels
        • High-Fidelity Fracture Model for Hydraulically Fractured Shale Reservoirs
        • A Quantitative Methodology for Measuring Cyber Risk to Critical Infrastructure
        • A Flue-Temperature Carbon Dioxide Separation Membrane
        • Fullerene-Grafted Graphene as an Electrical Energy Storage Material
        • Integrating Climate Simulations and Paleontology Data to Constrain California Drought Risks
        • Planar Ceramic Light Guides for Solar Concentrators and Laser Amplifiers
        • Detection and Attribution of Climate-Driven Impacts on Crop Yields
        • A Quantitative Methodology for Measuring Cyber Risk to Critical Infrastructure
        • Large-Scale Energy Storage in the Earth
        • Optical Fibers for Water Treatment
        • Printed Biocatalysts for Natural Gas Upgrading
        • Hierarchical Nanometer-Scale Porous Copper Flow-Through Electrodes for Efficient Carbon Dioxide Reduction
        • Applying Inverse Sheath Theory to Plasma–Surface Interactions in Magnetic Fusion and Space Plasmas
      • High-Energy-Density Science
        • Melting and Solidification in Multicomponent Materials: Constraints on the Search for Habitable Planets
        • Quantum Simulations for Strongly Correlated Materials with High Atomic Numbers
        • X-Ray Free-Electron Laser Science for High-Energy-Density Experiments
        • Creation and Study of Ultrahigh-Energy-Density Matter Using Nanometer-Scale Structured Targets
        • Advanced Fusion Target-Capsule Concepts
        • Coupling Monte Carlo Neutral and Fluid Plasma Models for Edge Simulation in Magnetic Fusion
        • Collisionless Shock Formation in Laser-Generated Plasma Streams
        • New Quantum Simulation Capability for Ultrahigh-Temperature, High-Energy-Density Science
        • Extending Laser-Driven X-Ray Sources to High-Energy-Density Science Facilities
        • Exploring Laser-Produced Relativistic Pair Plasma Jets
        • Kinetics of Incipient Stages of Phase Transitions
        • Understanding Plasma Divertor Detachment in Fusion Power Reactors
        • Effects of Pressure-Induced Ionization Potential Depression on Material Properties
        • Effects of Magnetic Fields on Transport in Laser-Driven Nonequilibrium Plasmas
        • The Design of a Solid-State Streak Detector
        • Investigation of Ultrahigh-Pressure Phase Transitions in Metals with a Toroidal Diamond Anvil Cell
        • A Short-Pulse, Laser-Driven Particle Beam Capability
        • An Optical Interferometry Diagnostic for Hohlraum Plasma Characterization Experiments on the National Ignition Facility
        • High-Pressure Thermal Conductivity of Iron
        • Study of Iron K-Alpha Spectra in a Compact X-Ray Atmosphere
        • Simulations of Interpenetrating Plasmas
        • Measuring the Asymptotic Behavior of Self-Generated 'B' Magnetic Fields in a Hohlraum Geometry
        • Metallic Helium at Extreme Density Inside Giant Planets and White Dwarf Stars
        • Probing the Interface Stability of Implosions
        • Numerical Simulations of Dust-Grain Collisions with Interstellar Spacecraft
        • A High-Fluence, High-Energy X-Ray Source Using Laser–Plasma Instabilities
        • Measuring Astrophysically Relevant Reaction Rates in a High-Energy-Density Laboratory
        • Foams in Hohlraums
        • Next-Generation Hohlraums for High Coupling Efficiency
        • Identification and Analysis of Temperature Gradients in X-Ray Spectroscopic Data
        • Thermal Conductivity Measurements in Convergent Geometry
      • High-Performance Computing, Simulation, and Data Science
        • Integrated Mesoscale Approach for Predicting Ionic Conductivity in Solid Electrolytes
        • Projection-Based Model Reduction with Applications in Transport and Hydrodynamics Simulation
        • New Computational Methods for Scalable Genome Variation Discovery
        • Acceleration of Ptychographic Microscopy Reconstruction
        • Algorithm for First-Principles Molecular Dynamics of Metals at Extreme Scales
        • Failure Recovery Abstractions for Large-Scale Parallel Applications
        • Predictive Models Based on Disjointed Feature Sets for Applications in Biomedicine and Cyber Security
        • Validating Large Fluid-Dynamics Simulations of Complex Geometries with Three-Dimensional Printing
        • In-Memory Associative Indexing
        • Modeling Spatial and Temporal Coupling in High-Contrast Grating Compressors Utilizing High-Performance Computing
        • Computational Framework for Data Assimilation and Uncertainty Management of Large-Dimensional Dynamics Models
        • Topology Optimization of Multifunctional Materials
        • Multimodal Learning on Big Brain Data
        • Improving Simulation Workflows: A Data Analytics Approach
        • High-Dimensional Spectral-Sampling Techniques
        • Detecting Data-Races in High-Performance Computing
        • Simulation of Biased Random Walks in an Asynchronous Graph Framework
        • Multiple-Rate Integrators for Differential Equations
        • Rapid Closed-Loop Control of Additive Manufacturing with Machine Learning
        • Advanced Adaptive Optics Algorithms for Astronomical and X-ray Applications
        • Exploring Laser Directed-Energy Lethality and Vulnerability
        • Robust Decentralized Signal Processing and Distributed Control of Autonomous Sensor Networks
        • Optimizing Application Performance in Multi-Constraint Computing Environments
        • Discovering Phase Behavior of Materials Interfaces with Evolutionary Algorithms
        • Variable Precision Computing
        • Computational Design Automation
      • Inertial Fusion Science and Technology
        • High-Temperature Plasma-Chemistry Kinetics Test Bed
        • Chemically Stable and Optically Transparent Vapor-Deposited Plastics
        • Liquid Condensation and Solidification Behavior of Hydrogen Isotopes in Foams
        • Microphysics Studies of Hohlraum Dynamics
      • Lasers and Optical Science and Technology
        • Single-Shot Optical Recorder with Picosecond Resolution and Nanosecond Record Length
        • Next-Generation Films for High-Performance Optoelectronics Applications
        • Compton-Scattering X-Ray Generation from Compact X-Band Accelerators
        • Mechanisms of Pulsed-Laser Ablation, Damage, and Failure in Various Classes of Materials
        • Efficient, High-Power Mid-Infrared Laser for National Security and Scientific Applications
        • Active Adaptive Control of High-Energy, High-Repetition-Rate, Short-Pulse Lasers
        • HDRScope-The High Dynamic-Range Oscilloscope
        • Laser Beam Propagation Through Deep Turbulence
        • Improved Coupling of Laser Energy to Targets
        • Extreme Nonlinear Optics of Plasmas
        • Fabrication of Functionally Graded Optical Components Using Additive Manufacturing
        • Enhanced Surface Laser-Damage Resistance of Nonlinear Crystals
        • Science of Finishing of Novel Optical Materials
        • Technologies for High-Energy, Short-Pulse Laser Systems Beyond the Kilowatt Barrier
        • Optically Safer, Power-Scalable Laser Systems for Defense Applications
        • Advanced Laser Diode Packaging
        • New Framework to Prevent Catastrophic Damage to Laser Diodes
        • A Compact High-Power, Radio-Frequency Directed-Energy Source
        • ARCHER: Advanced Radiographic Capability–High Energy and Resolution
        • Plasmonic Control of Short Pulses in Optical Fibers
        • Advanced Multilayer Systems for National Security
      • Nuclear, Chemical, and Isotopic Science and Technology
        • Answering Fundamental Physics Questions with the Neutrino
        • Neutrino Science with a Kiloton-Scale Water Detector
        • Tracking Water through the Critical Zone to Assess Drought Vulnerability
        • New Physics from Collisions at the Large Hadron Collider
        • Inferring Nuclear Fireball Properties from Experimental Data
        • Nucleosynthesis for Science and Security
        • Using Short-Lived Cosmogenic Isotopes to Determine the Age of Underground Tunnels
        • Radon Collection for Electric Dipole Measurements
        • Measurement of Uranium Decay Rates to Advance Nuclear Forensics Chronology
        • The New Frontier of Nuclear Science: Nuclear Reactions and Radiochemistry at the National Ignition Facility
        • The Origins of Matter on Near-Exascale Supercomputing
        • An Alternative Rare-Event Detector
        • Probabilistic Modeling for Nuclear Fission and Heavy-Ion Collisions
        • Feasibility of Low-Energy Nuclear Physics Research Using LLNL Capabilities and SARAF Beams
        • Achieving the Ultimate Sensitivity for Dark Matter Detectors
        • Modernizing the Fission Basis
        • Development of Integrated Systems for Discovering the Chemical Properties of the Heaviest Elements
        • Event-by-Event Determination of Antineutrino Direction
      • Stockpile Stewardship Science
        • Precision Gamma-Ray Signatures for Long-Lived Radioactive Nuclei
        • A Dense-Plasma Focus Device as a Compact Neutron Source
        • Application-Driven Research into Multiscale Modeling of Laser-Plasma Interactions
        • Single-Shock Platform for Activation Studies with a Prompt Source of Fast Neutrons
        • Transport and the Equation of State for Asymmetric Plasma Mixtures
        • Self-Consistent, Three-Dimensional Calculations of Electromagnetic Pulse Propagation
        • Controlling Detonative Phenomena with High-Explosives Material Architecture
        • Deformation Mechanisms in Body-Centered Cubic Metals at High Pressures and Strain Rates
        • Prebiotic Self-Assembly Reactions in Astrophysical Icy Materials
        • Characterizing Carbon Nucleation in Shocked Energetic Materials
        • Multispectral X-Ray Computed Tomography
        • Modeling Thermal and Quantum Magnetic Fluctuations in Correlated Materials
    • FY2016
      • Director’s Statement
      • Overview
        • About the FY2016 Laboratory Directed Research and Development Annual Report
        • The LDRD Program at Livermore
          • Structure
          • Oversight
          • Context for the FY16 Portfolio
          • Structure of the FY16 Portfolio
          • Metrics
        • Research Highlights
        • Awards and Recognition
        • Journal Covers
        • Strategic Partnerships and Technology Transfer
      • Advanced Materials and Manufacturing
        • Accelerated Development of Multiscale Materials
        • Advanced Synthesis and Characterization Techniques for Ultrahard Film Growth
        • Building Computerized Tomography Tools for Precision Additive Manufacturing
        • Coating Hollow Objects with Uniform Low-Density Films
        • Deterministic Multifunctional Materials and Manufacturing Initiative