High-Performance Computing Simulation and Data Science - 2022

Project Title	Project Code	Principal Investigator	Project Type	Project Status
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation	22-DR-009	Maya Gokhale	Disruptive Research	Continuing
Hierarchical, Multimodel, Multiscale Parallel-In-Time	22-FS-029	Paul Tranquilli	Feasibility Study	Final
Autonomous MultiScale: Embedded Machine Learning for Smart Simulations	22-SI-004	Peer-Timo Bremer	Strategic Initiative	Continuing
Deep Facial Representation for Quantification of Emotion Dynamics	22-FS-032	Piyush Karande	Feasibility Study	Final
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales	21-ERD-020	Roger Pearce	Exploratory Research	Continuing
Improving Extrapolation Behavior in Deep Neural Networks	22-ERD-006	Rushil Anirudh	Exploratory Research	Continuing
Decentralized Autonomous Networks for Cooperative Estimation	20-SI-005	Ryan Goldhahn	Strategic Initiative	Final
Modeling Complex Behavior of Lattices to Enable Multiscale Design	20-ERD-020	Seth Watts	Exploratory Research	Final
Efficient High-Frequency Time-Harmonic Wave Propagation Solvers Using Discontinuous Petrov-Galerkin Methods	22-FS-009	Socratis Petrides	Feasibility Study	Final
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing	21-ERD-051	Stefanie Guenther	Exploratory Research	Final
Active Learning for Rapid Design of Vaccines and Antibodies	20-ERD-032	Thomas Desautels	Exploratory Research	Final
An Experimentally Validated Synergistic Membrane Model	21-ERD-047	Timothy Carpenter	Exploratory Research	Continuing
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations	21-ERD-031	Vladimir Tomov	Exploratory Research	Continuing
Optimal High-Order Solvers	20-ERD-002	Will Pazner	Exploratory Research	Final