most citedUltra-fast interpretable machine-learning potentials

83 citations · 83 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2021★ 83 cited

Ultra-fast interpretable machine-learning potentials

Stephen R. Xie, Matthias Rupp, Richard G. Hennig

All-atom dynamics simulations are an indispensable quantitative tool in physics, chemistry, and materials science, but large systems and long simulation times remain challenging du…