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Facilitating {\it ab initio} configurational sampling of multicomponent solids using an on-lattice neural network model and active learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Kasamatsu, Shusuke, Motoyama, Yuichi, Yoshimi, Kazuyoshi, Matsumoto, Ushio, Kuwabara, Akihide, Ogawa, Takafumi
Formato:	Preprint
Publicado:	2020
Materias:	Computational Physics Materials Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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