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Paul Erhart — most-cited papers & profile · AI for Science

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Paul Erhart

1 papers · 364 citations

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Most-cited papers

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
2022 · 364 citations

Top co-authors

Alexander J. Gabourie · 1 Eric Lindgren · 1 Haikuan Dong · 1 Jiahui Liu · 1 Jian Sun · 1 Jianyang Wu · 1 J. Magnus Rahm · 1 Junjie Wang · 1 Keke Song · 1 Ke Xu · 1 Penghua Ying · 1 Tapio Ala-Nissila · 1

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Physics ML Chemistry Materials