High-Performance Computing Simulation and Data Science

Project Highlights

 
FY2021

Click on any of the project titles below to view a brief project summary,
or return to our Project Highlights page to view lists of FY21 projects in other research categories.

Project Title Project Code Project Type Project Status
Efficient Reduced-Order Models for Multi-Physics Simulations 21-FS-042 Feasibility Study Final
Optimal High-Order Solvers 20-ERD-002 Exploratory Research Continuing
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Exploratory Research Continuing
Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids 19-ERD-035 Exploratory Research Final
The Applicability of Unit Systems to High-Performance Computing Applications 21-FS-016 Feasibility Study Final
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Exploratory Research Continuing
Active Learning for Rapid Design of Vaccines and Antibodies 20-ERD-032 Exploratory Research Continuing
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing 21-ERD-051 Exploratory Research Continuing
Modeling Complex Behavior of Lattices to Enable Multiscale Design 20-ERD-020 Exploratory Research Continuing
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Exploratory Research Continuing
Decentralized Autonomous Networks for Cooperative Estimation 20-SI-005 Strategic Initiative Continuing
Next Generation Machine Learning 19-ERD-007 Exploratory Research Final
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Exploratory Research Continuing
MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments 19-SI-004 Strategic Initiative Final
Heterogeneous Computing Elements: A Quantitative Evaluation 19-ERD-004 Exploratory Research Final
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Exploratory Research Continuing
Advanced Physics Models for Particle-to-Particle Interactions 19-ERD-025 Exploratory Research Final
Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction 21-FS-013 Feasibility Study Continuing
Knowledge-Driven Machine Learning 21-ERD-012 Exploratory Research Continuing
Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction 20-FS-010 Feasibility Study Final