Chinese Journal of Lasers, Volume. 52, Issue 10, 1001008(2025)

Numerical Study of Chemical Lasers Based on Physics‑Informed Neural Networks

Naiwen Chang1,2, Tingting Liu1, Shuqin Jia1, Ying Huai1、*, and Yuqi Jin1
Author Affiliations
  • 1Key Laboratory of Chemical Lasers, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, Liaoning , China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(7)
    Schematic diagram of laser cavity
    Schematic diagram of PINNs
    Schematic diagrams of complex-valued laser and gain distributions at first plane along light propagation direction. (a) Real part of complex-valued laser distribution; (b) imaginary part of complex-valued laser distribution; (c) gain distribution; (d) local magnification of Fig. 3 (c)
    Residual distributions of real and imaginary parts of numerical results for complex-valued laser field. (a) Real part; (b) imaginary part
    Comparison of numerical results and PINNs prediction results of complex-valued laser distributions at seventh plane along light propagation direction
    Comparison of numerical result and PINNs prediction result of gain distribution. (a) Numerical result; (b) PINNs prediction result
    Comparison of numerical result and PINNs prediction result after adding gain label at boundary (marked area) . (a) Numerical result; (b) PINNs prediction result
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    Naiwen Chang, Tingting Liu, Shuqin Jia, Ying Huai, Yuqi Jin. Numerical Study of Chemical Lasers Based on Physics‑Informed Neural Networks[J]. Chinese Journal of Lasers, 2025, 52(10): 1001008

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    Paper Information

    Category: laser devices and laser physics

    Received: Dec. 11, 2024

    Accepted: Feb. 11, 2025

    Published Online: May. 16, 2025

    The Author Email: Ying Huai (huaiying@dicp.ac.cn)

    DOI:10.3788/CJL241440

    CSTR:32183.14.CJL241440

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