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Photonics Research, Volume. 9, Issue 2, B38(2021)

Smart ring resonator–based sensor for multicomponent chemical analysis via machine learning

Zhenyu Li1,2、†, Hui Zhang2、†, Binh Thi Thanh Nguyen2, Shaobo Luo2, Patricia Yang Liu2, Jun Zou2, Yuzhi Shi2, Hong Cai3, Zhenchuan Yang1, Yufeng Jin1, Yilong Hao1,5、*, Yi Zhang2,4,6、*, and Ai-Qun Liu2,7、*
Author Affiliations
  • 1National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, Beijing 100871, China
  • 2Quantum Science and Engineering Centre, Nanyang Technological University, Singapore 639798, Singapore
  • 3Institute of Microelectronics, A*STAR (Agency for Science, Technology and Research), Singapore 138634, Singapore
  • 4School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
  • 5e-mail: haoyl@pku.edu.cn
  • 6e-mail: yi_zhang@ntu.edu.sg
  • 7e-mail: eaqliu@ntu.edu.sg
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    Zhenyu Li, Hui Zhang, Binh Thi Thanh Nguyen, Shaobo Luo, Patricia Yang Liu, Jun Zou, Yuzhi Shi, Hong Cai, Zhenchuan Yang, Yufeng Jin, Yilong Hao, Yi Zhang, Ai-Qun Liu. Smart ring resonator–based sensor for multicomponent chemical analysis via machine learning[J]. Photonics Research, 2021, 9(2): B38

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Oct. 6, 2020

    Accepted: Nov. 18, 2020

    Published Online: Jan. 22, 2021

    The Author Email: Yilong Hao (haoyl@pku.edu.cn), Yi Zhang (yi_zhang@ntu.edu.sg), Ai-Qun Liu (eaqliu@ntu.edu.sg)

    DOI:10.1364/PRJ.411825

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology