Convergence Acceleration in Machine Learning Potentials for Atomistic Simulations
Keyword(s):
Machine learning potentials (MLPs) for atomistic simulations have an enormous prospective impact on materials modeling, offering orders of magnitude speedup over density functional theory (DFT) calculations without appreciably sacrificing accuracy...
2021 ◽
Vol 17
(2)
◽
pp. 826-840
Keyword(s):
2019 ◽
Vol 21
(6)
◽
pp. 3227-3241
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2018 ◽
Vol 74
(12)
◽
pp. 1641-1649
Keyword(s):