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Self-Learning Perfect Optical Chirality via a Deep Neural Network.
Li, Yu; Xu, Youjun; Jiang, Meiling; Li, Bowen; Han, Tianyang; Chi, Cheng; Lin, Feng; Shen, Bo; Zhu, Xing; Lai, Luhua; Fang, Zheyu.
  • Li Y; School of Physics, State Key Lab for Mesoscopic Physics, Academy for Advanced Interdisciplinary Studies, Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China.
  • Xu Y; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China.
  • Jiang M; BNLMS, State Key Laboratory for Structural Chemistry of Unstable & Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, Peoples' Republic of China.
  • Li B; School of Physics, State Key Lab for Mesoscopic Physics, Academy for Advanced Interdisciplinary Studies, Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China.
  • Han T; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China.
  • Chi C; School of Physics, State Key Lab for Mesoscopic Physics, Academy for Advanced Interdisciplinary Studies, Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China.
  • Lin F; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China.
  • Shen B; School of Physics, State Key Lab for Mesoscopic Physics, Academy for Advanced Interdisciplinary Studies, Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China.
  • Zhu X; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China.
  • Lai L; School of Physics, State Key Lab for Mesoscopic Physics, Academy for Advanced Interdisciplinary Studies, Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China.
  • Fang Z; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China.
Phys Rev Lett ; 123(21): 213902, 2019 Nov 22.
Article en En | MEDLINE | ID: mdl-31809151
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2019 Tipo del documento: Article