Chinese Journal of Lasers, Volume. 50, Issue 11, 1101003(2023)

Application of Neural Network in Ultrafast Optics

Xiaoxian Zhu1,2,3, Yitan Gao1,3, Yiming Wang1,2,3, Ji Wang3, Kun Zhao1,3、*, and Zhiyi Wei1,2,3
Author Affiliations
  • 1Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Songshan Lake Materials Laboratory, Dongguan 523808, Guangdong, China
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    Figures & Tables(8)
    Intelligent programmable mode-locked fiber laser based on human-like algorithm[32]. (a) Schematic of human-like algorithm; (b) real-time intelligent mode-locked fiber laser
    Schematic of DL-MPC[34]
    Schematic of adaptive neural network algorithm[45]. (a) aNNA iteration sequence; (b) prediction function
    Schematic of LSTM architecture[60]
    Structure model of MLP neural network[70]
    Schematics of DeepFROG architecture[82]. (a) DNN architecture for mapping FROG traces into complex pulses; (b) supervised training procedure; (c) unsupervised training procedure
    Structural diagram of CNN[83]
    Retrieval of two experimental attosecond streaking traces with CVGN[91]. (a) Measured attosecond streaking traces; (b) reconstructed attosecond streaking traces; retrieved attosecond pulse curves in (c) time and (d) frequency domains
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    Xiaoxian Zhu, Yitan Gao, Yiming Wang, Ji Wang, Kun Zhao, Zhiyi Wei. Application of Neural Network in Ultrafast Optics[J]. Chinese Journal of Lasers, 2023, 50(11): 1101003

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    Paper Information

    Category: laser devices and laser physics

    Received: Mar. 1, 2023

    Accepted: Apr. 28, 2023

    Published Online: May. 29, 2023

    The Author Email: Zhao Kun (zhaokun@iphy.ac.cn)

    DOI:10.3788/CJL230572

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