High-Performance Computing Simulation and Data Science - 2022

Project Title	Project Code	Principal Investigator	Project Type	Project Status
Improving Extrapolation Behavior in Deep Neural Networks	22-ERD-006	Rushil Anirudh	Exploratory Research	Continuing
Adaptive Sampling for Risk-Averse Design and Optimization	22-ERD-009	Boyan Lazarov	Exploratory Research	Continuing
Optimal High-Order Solvers	20-ERD-002	Will Pazner	Exploratory Research	Final
Large-Scale Shape Optimization with Conformal Meshes	22-ERD-023	Jorge Barrera Cruz	Exploratory Research	Continuing
Safe and Trustworthy Machine Learning	20-ERD-014	Bhavya Kailkhura	Exploratory Research	Final
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction	22-ERD-032	Hyojin Kim	Exploratory Research	Continuing
Modeling Complex Behavior of Lattices to Enable Multiscale Design	20-ERD-020	Seth Watts	Exploratory Research	Final
High-Performance Computing Force Multiplier: Leading the Way for Extreme-Scale Converged Computing	22-ERD-041	Daniel Milroy	Exploratory Research	Continuing
Active Learning for Rapid Design of Vaccines and Antibodies	20-ERD-032	Thomas Desautels	Exploratory Research	Final
Reliable Decentralized Solvers in Unreliable Computing Environments	22-ERD-045	Alyson Fox	Exploratory Research	Continuing
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
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning	19-DR-003	Brenden Petersen	Disruptive Research	Final
Beating Monte Carlo: The Polynomial Method in Lattice Problems	19-DR-013	Christian Scullard	Disruptive Research	Final
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation	22-DR-009	Maya Gokhale	Disruptive Research	Continuing