Office of Advanced Scientific Computing Research (ASCR)

Highlights

Nature Quantum Information - Quantum Chemistry as a Benchmark for Near-term Quantum Computation

Nature Quantum Information - Quantum Chemistry as a Benchmark for Near-term Quantum Computation

An artist rendering of the SKA’s low-frequency, cone-shaped antennas in Western Australia. Credit: SKA Project Office.

Processing Full-Scale Square Kilometre Array Data on the Summit Supercomputer

Architecture of the Plexus resilient runtime system, interfacing with programming model runtimes, libraries, system monitoring and job and resource management.

PLEXUS: A Pattern-Oriented Runtime System Architecture for Resilient Extreme-Scale High-Performance Computing Systems

Periodic time series

Robust learning with implicit networks

Image inpainting

Feature-driven exemplar-based nonlocal image inpainting

DNN_RM

Non-intrusive inference reduced order model for fluids using deep multistep neural network

exit-2d

A Feynman-Kac based numerical method for the exit time probability of a class of transport problems

RE_sg

A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation

RE_MC

A backward Monte-Carlo method for time-dependent runaway electron simulations

quantum control

A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models

Ackley function

AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient

wavelength demultiplexer

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

Solution profiles of the scalar flux for various methods

Low-Memory, Discrete Ordinates, Discontinuous Galerkin Methods for Radiative Transport