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Office of Advanced Scientific Computing Research (ASCR)
Highlights
Nature Quantum Information - Quantum Chemistry as a Benchmark for Near-term Quantum Computation
Processing Full-Scale Square Kilometre Array Data on the Summit Supercomputer
PLEXUS: A Pattern-Oriented Runtime System Architecture for Resilient Extreme-Scale High-Performance Computing Systems
Robust learning with implicit networks
Feature-driven exemplar-based nonlocal image inpainting
Non-intrusive inference reduced order model for fluids using deep multistep neural network
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems
A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation
A backward Monte-Carlo method for time-dependent runaway electron simulations
A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient
A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics
Accelerating reinforcement learning with a directional Gaussian smoothing evolution strategy
Scalable deep-learning-accelerated topology optimization for additively manufactured materials
Low-Memory, Discrete Ordinates, Discontinuous Galerkin Methods for Radiative Transport
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