Machine learning reveals orbital interaction in materials.

Lam Pham, Tien; Kino, Hiori; Terakura, Kiyoyuki; Miyake, Takashi; Tsuda, Koji; Takigawa, Ichigaku; Chi Dam, Hieu

Lam Pham, Tien; Kino, Hiori; Terakura, Kiyoyuki; Miyake, Takashi; Tsuda, Koji; Takigawa, Ichigaku; Chi Dam, Hieu.

Afiliação

Lam Pham T; Japan Advanced Institute of Science and Technology, Nomi, Japan.
Kino H; Elements Strategy Initiative Center for Magnetic Materials, National Institute for Materials Science, Tsukuba, Japan.
Terakura K; Elements Strategy Initiative Center for Magnetic Materials, National Institute for Materials Science, Tsukuba, Japan.
Miyake T; Center for Materials Research by Information Integration, Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, Japan.
Tsuda K; Japan Advanced Institute of Science and Technology, Nomi, Japan.
Takigawa I; Center for Materials Research by Information Integration, Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, Japan.
Chi Dam H; Elements Strategy Initiative Center for Magnetic Materials, National Institute for Materials Science, Tsukuba, Japan.

Sci Technol Adv Mater ; 18(1): 756-765, 2017.

Article em En | MEDLINE | ID: mdl-29152012

Palavras-chave

Material descriptor; data mining; machine learning; magnetic materials; material informatics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Technol Adv Mater Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Japão

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