• Photonics Research
  • Vol. 10, Issue 10, 2343 (2022)
Bing Duan1、†, Hanying Zou2、†, Jin-Hui Chen3、4, Chun Hui Ma1, Xingyun Zhao1, Xiaolong Zheng2, Chuan Wang5、6、*, Liang Liu2、7、*, and Daquan Yang1、8、*
Author Affiliations
  • 1State Key Laboratory of Information Photonics and Optical Communications, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 2Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 3Institute of Electromagnetics and Acoustics and Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen 361005, China
  • 4Shenzhen Research Institute of Xiamen University, Shenzhen 518000, China
  • 5School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
  • 6e-mail:
  • 7e-mail:
  • 8e-mail:
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    DOI: 10.1364/PRJ.464133 Cite this Article Set citation alerts
    Bing Duan, Hanying Zou, Jin-Hui Chen, Chun Hui Ma, Xingyun Zhao, Xiaolong Zheng, Chuan Wang, Liang Liu, Daquan Yang. High-precision whispering gallery microsensors with ergodic spectra empowered by machine learning[J]. Photonics Research, 2022, 10(10): 2343 Copy Citation Text show less
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    The article is cited by 13 article(s) from Web of Science.
    Bing Duan, Hanying Zou, Jin-Hui Chen, Chun Hui Ma, Xingyun Zhao, Xiaolong Zheng, Chuan Wang, Liang Liu, Daquan Yang. High-precision whispering gallery microsensors with ergodic spectra empowered by machine learning[J]. Photonics Research, 2022, 10(10): 2343
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