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Matlantis-PFP v8: Universal Machine Learning Interatomic Potential with Better Experimental Agreements via r2SCAN Functional

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Shinagawa, Chikashi, Takamoto, So, Shintani, Daiki, Zhuang, Yong-Bin, Tsuboi, Yuta, Nishimra, Katsuhiko, Shinohara, Kohei, Iwase, Shigeru, Tanaka, Yuta, Li, Ju
Formato:	Preprint
Publicado:	2026
Materias:	Chemical Physics Materials Science Computational Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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