Lawrence Livermore National Laboratory
LDRD Annual Report
FY2019
Overview
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
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