most citedPhysically-informed artificial neural networks for atomistic modeling of materials

334 citations · 334 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2018★ 334 cited

Physically-informed artificial neural networks for atomistic modeling of materials

G. P. Purja Pun, R. Batra, R. Ramprasad +1

Large-scale atomistic computer simulations of materials heavily rely on interatomic potentials predicting the potential energy and Newtonian forces on atoms. Traditional interatomi…