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Fast extraction of three-dimensional nanofiber orientation from WAXD patterns using machine learning.
Sun, Minghui; Dong, Zheng; Wu, Liyuan; Yao, Haodong; Niu, Wenchao; Xu, Deting; Chen, Ping; Gupta, Himadri S; Zhang, Yi; Dong, Yuhui; Chen, Chunying; Zhao, Lina.
Afiliación
  • Sun M; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Dong Z; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Wu L; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Yao H; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Niu W; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Xu D; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Chen P; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Gupta HS; School of Engineering and Material Science, Queen Mary University of London, London E1 4NS, United Kingdom.
  • Zhang Y; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Dong Y; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Chen C; University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
  • Zhao L; Multidisciplinary Initiative Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
IUCrJ ; 10(Pt 3): 297-308, 2023 May 01.
Article en En | MEDLINE | ID: mdl-36961758

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IUCrJ Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IUCrJ Año: 2023 Tipo del documento: Article
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