High-Performance Computing Simulation and Data Science

Project Highlights

 
FY2022

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 FY22 projects in other research categories.

Project Title Project Code Principal Investigator Project Type Project Status
Zeroth-Order Machine Learning for Flexible Integration of Domain Knowledge 22-FS-019 James Diffenderfer Feasibility Study Final
Virtual Inspections: Fast and Intuitive Inspections of Manufactured Parts in Virtual Reality 22-FS-026 Haichao Miao Feasibility Study Final
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing 21-ERD-051 Stefanie Guenther Exploratory Research Final
Safe and Trustworthy Machine Learning 20-ERD-014 Bhavya Kailkhura Exploratory Research Final
Robust Control of Scientific Simulations with Deep Reinforcement Learning 21-SI-001 Daniel Faissol Strategic Initiative Continuing
Reliable Decentralized Solvers in Unreliable Computing Environments 22-ERD-045 Alyson Fox Exploratory Research Continuing
Probabilistic Models for Dynamic Hypergraphs with Content 20-ERD-049 Grant Boquet Exploratory Research Final
Optimal High-Order Solvers 20-ERD-002 Will Pazner Exploratory Research Final
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction 22-ERD-032 Hyojin Kim Exploratory Research Continuing
Modeling Complex Behavior of Lattices to Enable Multiscale Design 20-ERD-020 Seth Watts Exploratory Research Final
Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction 21-FS-013 Kadri Aditya Mohan Feasibility Study Final
Large-Scale Shape Optimization with Conformal Meshes 22-ERD-023 Jorge Barrera Cruz Exploratory Research Continuing
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan Exploratory Research Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Continuing
Improving Extrapolation Behavior in Deep Neural Networks 22-ERD-006 Rushil Anirudh Exploratory Research Continuing
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning 19-DR-003 Brenden Petersen Disruptive Research Final
High-Performance Computing Force Multiplier: Leading the Way for Extreme-Scale Converged Computing 22-ERD-041 Daniel Milroy Exploratory Research Continuing
Hierarchical, Multimodel, Multiscale Parallel-In-Time 22-FS-029 Paul Tranquilli Feasibility Study Final
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Continuing
Efficient High-Frequency Time-Harmonic Wave Propagation Solvers Using Discontinuous Petrov-Galerkin Methods 22-FS-009 Socratis Petrides Feasibility Study Final