13 citations · 20 across the 13 of their papers we have counts for
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cs.LG2020
Parsimonious neural networks learn interpretable physical laws
Saaketh Desai, Alejandro Strachan
Machine learning is playing an increasing role in the physical sciences and significant progress has been made towards embedding domain knowledge into models. Less explored is its…
physics.comp-ph2020
Implementing a neural network interatomic model with performance portability for emerging exascale architectures
Saaketh Desai, Samuel Temple Reeve, James F. Belak
The two main thrusts of computational science are more accurate predictions and faster calculations; to this end, the zeitgeist in molecular dynamics (MD) simulations is pursuing m…