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Benchmarking CHGNet Universal Machine Learning Interatomic Potential Against DFT and EXAFS: Case of Layered WS2 and MoS2

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Bibliographic Details
Main Authors:	Žguns, Pjotrs, Pudza, Inga, Kuzmin, Alexei
Format:	Preprint
Published:	2025
Subjects:	Materials Science
Online Access:	Acceder al recurso
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