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Unraveling Thermal Transport Correlated with Atomistic Structures in Amorphous Gallium Oxide via Machine Learning Combined with Experiments.
Liu, Yuanbin; Liang, Huili; Yang, Lei; Yang, Guang; Yang, Hongao; Song, Shuang; Mei, Zengxia; Csányi, Gábor; Cao, Bingyang.
Afiliação
  • Liu Y; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China.
  • Liang H; Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.
  • Yang L; Frontier Research Center, Songshan Lake Materials Laboratory, Dongguan, Guangdong, 523808, China.
  • Yang G; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China.
  • Yang H; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China.
  • Song S; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China.
  • Mei Z; Frontier Research Center, Songshan Lake Materials Laboratory, Dongguan, Guangdong, 523808, China.
  • Csányi G; Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.
  • Cao B; Frontier Research Center, Songshan Lake Materials Laboratory, Dongguan, Guangdong, 523808, China.
Adv Mater ; 35(24): e2210873, 2023 Jun.
Article em En | MEDLINE | ID: mdl-36807658

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article