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Deciphering Chemical Ordering in High Entropy Materials: A Machine Learning-Accelerated High-throughput Cluster Expansion Approach

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Vazquez, Guillermo, Sauceda, Daniel, Arróyave, Raymundo
Format:	Preprint
Publié:	2024
Sujets:	Materials Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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