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Accelerating Materials Discovery: Learning a Universal Representation of Chemical Processes for Cross-Domain Property Prediction

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Tsitsvero, Mikhail, Nakao, Atsuyuki, Ikebata, Hisaki
Format:	Preprint
Publié:	2025
Sujets:	Chemical Physics Artificial Intelligence Discrete Mathematics Machine Learning 68T07, 92E10, 68R10 I.2.6; I.2.1; J.2; G.2.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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