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Predictive power of polynomial machine learning potentials for liquid states in 22 elemental systems

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Wakai, Hayato, Seko, Atsuto, Izuta, Hirosato, Nishiyama, Takayuki, Tanaka, Isao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Materials Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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