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Systematic assessment of various universal machine‐learning interatomic potentials

Abstract Machine‐learning interatomic potentials have revolutionized materials modeling at the atomic scale. Thanks to these, it is now indeed possible to perform simulations of ab initio quality over very large time and length scales. More recently, various universal machine‐learning models have be...

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Hauptverfasser: Haochen Yu, Matteo Giantomassi, Giuliana Materzanini, Junjie Wang, Gian‐Marco Rignanese
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley-VCH 2024-09-01
Schriftenreihe:Materials Genome Engineering Advances
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Online-Zugang:https://doi.org/10.1002/mgea.58
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