Towards intelligent fiber laser design by using a feed-forward neural network

Xinyang Liu; Regina Gumenyuk

doi:10.1117/12.2686809

27 November 2023 Towards intelligent fiber laser design by using a feed-forward neural network

Xinyang Liu, Regina Gumenyuk

Proceedings Volume 12760, Advanced Lasers, High-Power Lasers, and Applications XIV; 127600V (2023) https://doi.org/10.1117/12.2686809
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

We demonstrated a high accuracy prediction of the fiber laser output parameters by using a feed-forward neural network. We explored both the gain and spectral filter parameters to test the prediction performance of the neural network and realized the mapping between cavity parameters and laser output performance. We also investigated how the number of hidden layers could influence the accuracy of prediction. Based on the results, the output spectrum and temporal pulse profiles can be predicted with high accuracy in various fiber laser designs. Our work paves the way to intelligent laser design with ultimate autonomy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinyang Liu and Regina Gumenyuk "Towards intelligent fiber laser design by using a feed-forward neural network", Proc. SPIE 12760, Advanced Lasers, High-Power Lasers, and Applications XIV, 127600V (27 November 2023); https://doi.org/10.1117/12.2686809

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