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Atomistic Modeling of Chemical Disorder in Materials: Bridging Classical Methods and AI-Assisted Approaches

Fuente: arXiv

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Bibliographic Details
Main Authors:	Peng, Jiayu, Zhong, Peichen
Format:	Preprint
Published:	2026
Subjects:	Materials Science Disordered Systems and Neural Networks Machine Learning Chemical Physics
Online Access:	Acceder al recurso
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