High-Performance Computing, Simulation, and Data Science

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 FY20 projects in other research categories.

Project Title   Project Code   Principal Investigator   Project Type   Project Status  
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning 19-DR-003 Brenden Petersen Disruptive Research Continuing
Beating Monte Carlo: The Polynomial Method in Lattice Problems 19-DR-013 Christian Scullard Disruptive Research Continuing
Simulations of Interpenetrating Plasmas 17-ERD-081 Debojyoti Ghosh Exploratory Research Final
High-Order Finite Elements for Thermal Radiative Transfer on Curved Meshes 18-ERD-002 Terry Haut Exploratory Research Final
XPlacer: Extensible and Portable Optimizations of Data Placement in Memory 18-ERD-006 Chunhua Liao Exploratory Research Final
Deep Multitask Learning for Predictive Oncology 18-ERD-017 Andre Goncalves Exploratory Research Final
Methods for Explainable Artificial Intelligence 18-ERD-021 Terrell Mundhenk Exploratory Research Final
The Development of High-Order Interface Tracking Schemes for the Simulation of Multiphase Flows 18-ERD-053 Bryce Campbell Exploratory Research Final
Heterogeneous Computing Elements: A Quantitative Evaluation 19-ERD-004 Maya Gokhale Exploratory Research Continuing
Next Generation Machine Learning 19-ERD-007 Peer-Timo Bremer Exploratory Research Continuing
Scalable Multilevel Training of Large Neural Networks 19-ERD-019 Colin Ponce Exploratory Research Continuing
Advanced Physics Models for Particle-to-Particle Interactions 19-ERD-025 Kambiz Salari Exploratory Research Continuing
High-Performance Parallel Simulations for Whole-Cell Modeling 19-ERD-030 Ali Navid Exploratory Research Continuing
Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids 19-ERD-035 Victor Beck Exploratory Research Continuing
Optimal High-Order Solvers 20-ERD-002 Andrew Barker Exploratory Research Continuing
Safe and Trustworthy Machine Learning 20-ERD-014 Bhavya Kailkhura Exploratory Research Continuing
Modeling Complex Behavior of Lattices to Enable Multiscale Design 20-ERD-020 Seth Watts Exploratory Research Continuing
Materials Response Under Hypersonic Flow Conditions Probed by Multimodal Diagnostics in a Benchtop Wind Tunnel 20-ERD-027 Selim Elhadj Exploratory Research Final
Active Learning for Rapid Design of Vaccines and Antibodies 20-ERD-032 Thomas Desautels Exploratory Research Continuing
Robust Control of Scientific Simulations with Deep Reinforcement Learning 20-ERD-033 Daniel Faissol Exploratory Research Final
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era 20-ERD-043 Harshitha Gopalakrishnan Menon Exploratory Research Continuing
Probabilistic Models for Dynamic Hypergraphs with Content 20-ERD-049 Grant Boquet Exploratory Research Continuing
Floating Point Reproducibility for Accelerator-Based Systems 20-FS-005 Ignacio Laguna Peralta Feasibility Study Final
Nonlinear Manifold-Based Reduced Order Models 20-FS-007 Youngsoo Choi Feasibility Study Final
Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction 20-FS-010 Hyojin Kim Feasibility Study Continuing
Optimizing Performance Through Parallelism-Aware Compilation 20-FS-015 Giorgis Georgakoudis Feasibility Study Final
High-Fidelity, Scalable Quantum Qubit Control Signal Generation 20-FS-017 Apurva Gowda Feasibility Study Final
Nonlinear Spatial Discretization Using Sparse Grids 20-FS-018 John Loffeld Feasibility Study Final
Measuring the Interpolation Quality of Trained Neural Networks 20-FS-034 Andrew Gillette Feasibility Study Final
Scalable Approximate Graph Clustering 20-FS-037 Geoffrey Sanders Feasibility Study Final
Active Control of Turbulent Flows through Deep Learning 20-FS-039 Simon Lapointe Feasibility Study Final
Persistent Concurrent Data Structures 20-FS-040 Peter Pirkelbauer Feasibility Study Final
Accelerated and Disaggregated Cognitive Simulation 20-FS-041 Brian Van Essen Feasibility Study Final
MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments 19-SI-004 Michael Schneider Strategic Initiative Continuing
Decentralized Autonomous Networks for Cooperative Estimation 20-SI-005 Ryan Goldhahn Strategic Initiative Continuing