114 citations · 427 across the 17 of their papers we have counts for
5 papers · 1 filter
Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations
Gemma J. Anderson, Jim A. Gaffney, Brian K. Spears +3
Large-scale numerical simulations are used across many scientific disciplines to facilitate experimental development and provide insights into underlying physical processes, but th…
Benchmarking boron carbide equation of state using computation and experiment
Shuai Zhang, Michelle C. Marshall, Lin H. Yang +13
Boron carbide (BC) is of both fundamental scientific and practical interest in inertial confinement fusion (ICF) and high energy density physics experiments. We report the resu…
Comparison of ablators for the polar direct drive exploding pusher platform
Heather D. Whitley, G. Elijah Kemp, Charles Yeamans +36
We examine the performance of pure boron, boron carbide, high density carbon, and boron nitride ablators in the polar direct drive exploding pusher (PDXP) platform. The platform us…
Simultaneous compression and opacity data from time-series radiography with a Lagrangian marker
Damian C. Swift, Andrea L. Kritcher, James A. Hawreliak +12
Time-resolved radiography can be used to obtain absolute shock Hugoniot states by simultaneously measuring at least two mechanical parameters of the shock, and this technique is pa…
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh +4
Predictive models that accurately emulate complex scientific processes can achieve exponential speed-ups over numerical simulators or experiments, and at the same time provide surr…