High-Performance Computing Simulation and Data Science - 2022

Project Title	Project Code	Principal Investigator	Project Type	Project Status
Virtual Inspections: Fast and Intuitive Inspections of Manufactured Parts in Virtual Reality	22-FS-026	Haichao Miao	Feasibility Study	Final
Hierarchical, Multimodel, Multiscale Parallel-In-Time	22-FS-029	Paul Tranquilli	Feasibility Study	Final
Deep Facial Representation for Quantification of Emotion Dynamics	22-FS-032	Piyush Karande	Feasibility Study	Final
Decentralized Autonomous Networks for Cooperative Estimation	20-SI-005	Ryan Goldhahn	Strategic Initiative	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
Optimal High-Order Solvers	20-ERD-002	Will Pazner	Exploratory Research	Final
Safe and Trustworthy Machine Learning	20-ERD-014	Bhavya Kailkhura	Exploratory Research	Final
Modeling Complex Behavior of Lattices to Enable Multiscale Design	20-ERD-020	Seth Watts	Exploratory Research	Final
Active Learning for Rapid Design of Vaccines and Antibodies	20-ERD-032	Thomas Desautels	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
Probabilistic Models for Dynamic Hypergraphs with Content	20-ERD-049	Grant Boquet	Exploratory Research	Final
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing	21-ERD-051	Stefanie Guenther	Exploratory Research	Final
Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction	21-FS-013	Kadri Aditya Mohan	Feasibility Study	Final