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Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Wang, Weishi, Transtrum, Mark K., Lordi, Vincenzo, Bulatov, Vasily V., Samanta, Amit
Format:	Preprint
Publié:	2025
Sujets:	Materials Science Machine Learning Numerical Analysis Applied Physics Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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