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Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Fu, Xiang, Wood, Brandon M., Barroso-Luque, Luis, Levine, Daniel S., Gao, Meng, Dzamba, Misko, Zitnick, C. Lawrence
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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