High-Performance Computing, Simulation, and Data Science

Project Title	Tracking Code	Author	Project Type	Project Status
Advanced Parameterizations for Topology Optimization via Projection	19-FS-004	Seth Watts	Feasibility Study	Final
Advanced Physics Models for Particle-Particle Interactions	19-ERD-025	Kambiz Salari	Exploratory Research	Progress
Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids	19-ERD-035	Victor Beck	Exploratory Research	Progress
Beating Monte Carlo: The Polynomial Method in Lattice Problems	19-DR-013	Christian Scullard	Disruptive Research	Progress
Control of Superconducting Quantum Circuits	17-ERD-006	Lisa Poyneer	Exploratory Research	Final
Deep Multitask Learning for Predictive Oncology	18-ERD-017	Ana Paula De Oliveira Sales	Exploratory Research	Progress
Detecting Data Races in High-Performance Computing	17-ERD-023	Markus Schordan	Exploratory Research	Final
Engineering a Quantum Methuselah Using Phononic Band Gaps	18-FS-036	Yaniv Rosen	Feasibility Study	Final
Evaluating Field-Programmable Gate Arrays with Proxy Applications	19-FS-017	Naoya Maruyama	Feasibility Study	Final
Expanding Control of Quantum Processor Units	19-ERD-013	Jonathan DuBois	Exploratory Research	Progress
Heterogeneous Computing Elements: A Quantitative Evaluation	19-ERD-004	Maya Gokhale	Exploratory Research	Progress
High-Dimensional Spectral-Sampling Techniques	17-ERD-009	Jayaraman Thiagarajan	Exploratory Research	Final
High-Order Finite Elements for Thermal Radiative Transfer on Curved Meshes	18-ERD-002	Terry Haut	Exploratory Research	Progress
High-Performance Parallel Simulations for Whole-Cell Modeling	19-ERD-030	Ali Navid	Exploratory Research	Progress
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning	19-DR-003	Brenden Petersen	Disruptive Research	Progress
Large-Scale Multimodal Deep Learning for Nuclear Nonproliferation Analysis	17-SI-003	Barry Chen	Strategic Initiatives	Final
Machine Learning for Constitutive Modeling on an Exascale Computing Platform	19-FS-050	Michael Homel	Feasibility Study	Final
MADSTARE: Modeling and Analysis for Data-Starved or Ambiguous Environments	19-SI-004	Michael Schneider	Strategic Initiatives	Progress
Methods for Explainable Artificial Intelligence	18-ERD-021	Gerald Friedland	Exploratory Research	Progress
Modeling Thermal and Quantum Magnetic Fluctuations in Correlated Materials	17-ERD-041	Babak Sadigh	Exploratory Research	Final
Multiple-Rate Integrators for Differential Equations	17-ERD-035	Carol Woodward	Exploratory Research	Final
Next Generation Machine Learning	19-ERD-007	Peer-Timo Bremer	Exploratory Research	Progress
Nuclear Dynamics on a Quantum Chip	19-DR-005	Sofia Quaglioni	Disruptive Research	Progress
Projection-Based Model Reduction with Applications in Radiation Transport and Hydrodynamics Simulation	17-ERD-026	Robert Anderson	Exploratory Research	Final
Prototyping Exascale Graph Analytics	19-FS-009	Roger Pearce	Feasibility Study	Final
Quantum Optimal Control Using High-Performance Computing	19-FS-014	N. Anders Petersson	Feasibility Study	Final
Robust Decentralized Signal Processing and Distributed Control of Autonomous Sensor Networks	17-ERD-101	Ryan Goldhahn	Exploratory Research	Final
Scalable Multilevel Training of Large Neural Networks	19-ERD-019	Colin Ponce	Exploratory Research	Progress
Simulation of Biased Random Walks in an Asynchronous Graph Framework	17-ERD-024	Geoffrey Sanders	Exploratory Research	Final
Simulations of Interpenetrating Plasmas	17-ERD-081	Debojyoti Ghosh	Exploratory Research	Progress
The Development of High-Order Interface Tracking Schemes for the Simulation of Multiphase Flows	18-ERD-053	Bryce Campbell	Exploratory Research	Progress
Variable Precision Computing	17-SI-004	Jeffrey Hittinger	Strategic Initiatives	Final
XPlacer: Extensible and Portable Optimizations of Data Placement in Memory	18-ERD-006	Chunhua Liao	Exploratory Research	Progress