27 citations · 93 across the 7 of their papers we have counts for
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cs.LG2022★ 9 cited
Predictive Scale-Bridging Simulations through Active Learning
Satish Karra, Mohamed Mehana, Nicholas Lubbers +12
Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-b…
cs.LG2022★ 21 cited
Efficient Learning of Accurate Surrogates for Simulations of Complex Systems
A. Diaw, M. McKerns, I. Sagert +2
Machine learning methods are increasingly used to build computationally inexpensive surrogates for complex physical models. The predictive capability of these surrogates suffers wh…
physics.plasm-ph2022★ 4 cited
Impact of Electron Transport Models on Capillary Discharge Plasmas
A. Diaw, S. J. Coleman, N. M. Cook +3
Magnetohydrodynamics (MHD) can be used to model capillary discharge waveguides in laser-wakefield accelerators. However, the predictive capability of MHD can suffer due to poor mic…