High-Performance Computing Simulation and Data Science - 2022

Project Title	Project Code	Principal Investigator	Project Type	Project Status
DENAS: Deep Neuroevolution at Scale	21-ERD-026	Brian Van Essen	Exploratory Research	Continuing
Cross-Scale Modeling for Component Scale Simulations	21-ERD-022	Matthew Nelms	Exploratory Research	Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales	21-ERD-020	Roger Pearce	Exploratory Research	Continuing
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation	21-ERD-018	Giorgis Georgakoudis	Exploratory Research	Continuing
Knowledge-Driven Machine Learning	21-ERD-012	Jayaraman Jayaraman Thiagarajan	Exploratory Research	Continuing
Decentralized Autonomous Networks for Cooperative Estimation	20-SI-005	Ryan Goldhahn	Strategic Initiative	Final
Probabilistic Models for Dynamic Hypergraphs with Content	20-ERD-049	Grant Boquet	Exploratory Research	Final
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era	20-ERD-043	Harshitha Menon Gopalakrishnan Menon	Exploratory Research	Final
Active Learning for Rapid Design of Vaccines and Antibodies	20-ERD-032	Thomas Desautels	Exploratory Research	Final
Modeling Complex Behavior of Lattices to Enable Multiscale Design	20-ERD-020	Seth Watts	Exploratory Research	Final
Safe and Trustworthy Machine Learning	20-ERD-014	Bhavya Kailkhura	Exploratory Research	Final
Optimal High-Order Solvers	20-ERD-002	Will Pazner	Exploratory Research	Final
Beating Monte Carlo: The Polynomial Method in Lattice Problems	19-DR-013	Christian Scullard	Disruptive Research	Final
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning	19-DR-003	Brenden Petersen	Disruptive Research	Final