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FY2023

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Browse summaries of this year’s research projects by using any of the filters provided below.

Project Title Project Code Principal Investigator Research Category Project Type Project Status
In-Situ Quantitative Monitoring and Feedback Control for High-Sensitivity and High-Fidelity Manufacturing 23-FS-020 Dongping Terrel-Perez Accelerated Materials and Manufacturing Feasibility Study Final
Surface-Architected Smart Cellular Fluidics for Directional Liquid Transport 23-FS-037 Cheng Zhu Accelerated Materials and Manufacturing Feasibility Study Final
Advanced In-situ Processes Monitoring Diagnostics and Ex-situ Material Characterization for Laser-based Metal Additive Manufacturing Processes. 23-ERD-009 David Stobbe Accelerated Materials and Manufacturing Exploratory Research Continuing
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis High-Performance Computing, Simulation, and Data Science Exploratory Research Final
Toward the Intelligent Center for High-Performance Computing 23-ERD-045 Jae-Seung Yeom High-Performance Computing, Simulation, and Data Science Exploratory Research Final
Vectorization of Dynamic Subgraphs via Generative Models 23-FS-039 Geoffrey Sanders High-Performance Computing, Simulation, and Data Science Feasibility Study Final
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce High-Performance Computing, Simulation, and Data Science Exploratory Research Final
Adaptive Sampling for Risk-Averse Design and Optimization 22-ERD-009 Boyan Lazarov High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Knowledge Extraction and Injection Via Concept-Level Reasoning in Scientific Machine Learning 23-ERD-029 Shusen Liu High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Accelerating Time-integrators with Surrogate Models 23-ERD-048 Steven Roberts High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms High-Performance Computing, Simulation, and Data Science Exploratory Research Final
ForwardProp is a Novel Gradient-Free Learning Paradigm for Integrating Deep Neural Nets with Scientific Simulations 23-ERD-030 James Diffenderfer High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction 22-ERD-032 Hyojin Kim High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Multilevel Markov chain Monte Carlo Sampling Methods for Discrete Graph Problems 23-FS-008 Sarah Mackay High-Performance Computing, Simulation, and Data Science Feasibility Study Final
CROSSWALK 23-SI-001 High-Performance Computing, Simulation, and Data Science Strategic Initiative Continuing
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation 22-DR-009 Maya Gokhale High-Performance Computing, Simulation, and Data Science Disruptive Research Continuing
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Brian Van Essen High-Performance Computing, Simulation, and Data Science Exploratory Research Final
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Timothy Carpenter High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Scalable Methods for Contact with Optimization 23-ERD-017 Cosmin Petra High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing
Revisiting Consistency Models for High Performance Computing Input/Output: Can We Finally Ditch Portable Operating System Interface? 23-ERD-053 Chen Wang High-Performance Computing, Simulation, and Data Science Exploratory Research Continuing