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 |