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Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Yahagi, Yuta, Obuchi, Kiichi, Kosaka, Fumihiko, Matsui, Kota
Format:	Preprint
Publié:	2025
Sujets:	Chemical Physics Materials Science Machine Learning Computational Physics 92E99 I.2.1; J.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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