High-Performance Computing, Simulation, and Data Science

Project Highlights

 
FY2023

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 FY23 projects in other research categories.

Project Title Project Code Principal Investigator Project Type Project Status
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation 22-DR-009 Maya Gokhale Disruptive Research Continuing
Autonomous MultiScale: Embedded Machine Learning for Smart Simulations 22-SI-004 Peer-Timo Bremer Strategic Initiative Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Final
Learning to Solve Faster with Data-Driven Algebraic Multigrid Methods 23-FS-031 Ruipeng Li Feasibility Study Final
Improving Extrapolation Behavior in Deep Neural Networks 22-ERD-006 Rushil Anirudh Exploratory Research Continuing
Multilevel Markov chain Monte Carlo Sampling Methods for Discrete Graph Problems 23-FS-008 Sarah Mackay Feasibility Study Final
Knowledge Extraction and Injection Via Concept-Level Reasoning in Scientific Machine Learning 23-ERD-029 Shusen Liu Exploratory Research Continuing
Accelerating Time-integrators with Surrogate Models 23-ERD-048 Steven Roberts Exploratory Research Continuing
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Timothy Carpenter Exploratory Research Continuing
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Final