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General-Purpose Machine-Learned Potential for CrCoNi Alloys Enabling Large-Scale Atomistic Simulations with First-Principles Accuracy

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Wu, Yong-Chao, Mäkinen, Tero, Alava, Mikko, Esfandiarpour, Amin
Formato:	Preprint
Publicado:	2026
Materias:	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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