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
Optimal High-Order Solvers 20-ERD-002 Will Pazner Exploratory Research Final
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Continuing
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Timothy Carpenter Exploratory Research Continuing
Active Learning for Rapid Design of Vaccines and Antibodies 20-ERD-032 Thomas Desautels Exploratory Research Final
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing 21-ERD-051 Stefanie Guenther Exploratory Research Final
Efficient High-Frequency Time-Harmonic Wave Propagation Solvers Using Discontinuous Petrov-Galerkin Methods 22-FS-009 Socratis Petrides Feasibility Study Final
Modeling Complex Behavior of Lattices to Enable Multiscale Design 20-ERD-020 Seth Watts Exploratory Research Final
Decentralized Autonomous Networks for Cooperative Estimation 20-SI-005 Ryan Goldhahn Strategic Initiative Final
Improving Extrapolation Behavior in Deep Neural Networks 22-ERD-006 Rushil Anirudh Exploratory Research Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Continuing
Deep Facial Representation for Quantification of Emotion Dynamics 22-FS-032 Piyush Karande Feasibility Study Final
Autonomous MultiScale: Embedded Machine Learning for Smart Simulations 22-SI-004 Peer-Timo Bremer Strategic Initiative Continuing
Hierarchical, Multimodel, Multiscale Parallel-In-Time 22-FS-029 Paul Tranquilli Feasibility Study Final
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation 22-DR-009 Maya Gokhale Disruptive Research Continuing
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Continuing
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
Zeroth-Order Machine Learning for Flexible Integration of Domain Knowledge 22-FS-019 James Diffenderfer Feasibility Study Final
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction 22-ERD-032 Hyojin Kim Exploratory Research Continuing