Chinese Journal of Lasers, Volume. 52, Issue 10, 1001008(2025)
Numerical Study of Chemical Lasers Based on Physics‑Informed Neural Networks
Fig. 3. 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)
Fig. 4. Residual distributions of real and imaginary parts of numerical results for complex-valued laser field. (a) Real part; (b) imaginary part
Fig. 5. Comparison of numerical results and PINNs prediction results of complex-valued laser distributions at seventh plane along light propagation direction
Fig. 6. Comparison of numerical result and PINNs prediction result of gain distribution. (a) Numerical result; (b) PINNs prediction result
Fig. 7. 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
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)
CSTR:32183.14.CJL241440