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This study presents an optimization method for a wide stable-zone, large mode field operation nanosecond laser oscillator based on artificial intelligence algorithms. The work is motivated by the need of the large mode field laser cavities in compact size with variable thermal focal length. A physics model of light field propagation inside the resonator is established, incorporating thermal lensing tolerance. A multi-objective optimization function is designed to balance the beam quality, thermal stability, and cavity compactness simultaneously. Several algorithms, including simulated annealing, particle swarm optimization, and genetic algorithms are compared, and ultimately achieves efficient searching for optimal solutions in complex multi-dimensional parameter spaces. In system design, the cavity segment lengths, intracavity lens, and Gaussian mirror (VRM) parameters are optimized. Accordingly, the optimized cavity structure is experimentally implemented and Q-switched operated. The results demonstrate stable laser output at 100 Hz repetition rate with 190 mJ pulse energy and 7 ns pulse width, and beam quality factors Mx2 = 2.1 and My2 = 1.9 respectively, and the total length of the cavity is only 540mm which demonstrates the compactness of laser design. Furthermore, numerical simulations were conducted to compare a variety of resonator configurations and assess the impact of different parameters to the cavity’s thermal stability. After the optimization, the thermal stability curve of the laser resonator shows a significantly slope reduction near the large-mode-field region, indicating improved thermal length adaptability. This enhancement is crucial for ensuring long-term stable operation of high-repetition-rate nanosecond laser oscillators. In conclusion, this study provides an efficient approach to the design of compact, thermally stable, large-mode-area resonators, offering valuable insights for compact laser design with high power output.
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Keywords:
- Solid-state Laser /
- Large Mode Area /
- Artificial Intelligence /
- Multi-parameter Optimization
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[1] Zhu Z, Lv S, Zhang H, Hui Y, Lei H, Li Q 2021 Opt. Express 29 32325
[2] Li C, Lu C, Li C, Yang N, Li Y, Yang Z, Han S, Shi J, Zhou Z 2017 Opt. Commun. 394 1
[3] Li C, Lu C, Li C, Zang Y, Yang Z, Han S, Li Y, Yang N, Shi J, Zhou Z 2017 Opt. Eng. 56 116115
[4] Fan Z W, Qiu J S, Kang Z J, Chen Y Z, Ge W Q, Tang X X 2017 Light-Sci. Appl. 6 e17004
[5] Lu S, Gao M, Yang Y, Zhu R, Hou X, Sun J, Chen W, Zhu X 2019 Appl. Optics 58 7517
[6] Qi Y, Zhu X, Lou Q, Ji J, Dong J, Wei R 2007 J. Opt. Soc. Am. B-Opt. Phys. 24 1042
[7] Shen X, Zhou H, Zhen R L, Zhen J J, Wei W 2015 Acta Phys. Sin. 64 024210（沈骁, 邹辉, 郑锐林, 郑加金, 韦玮 2015 物理学报. 64 024210）
[8] Zhou W Z, Li X P, Yang J, Yang T L, Wang X J, Liu B J, Wang H Z, Yang J B, Peng Q J 2023 Acta Phys. Sin. 72 014204(周王哲, 李雪鹏, 杨晶, 杨天利, 王小军, 刘炳杰, 王浩竹, 杨俊波, 彭钦军 2023 物理学报 72 014204)
[9] Murdough M P, Denman C A 1996 Appl. Optics 35 5925
[10] Cerullo G, Desilvestri S, Magni V, Svelto O 1993 Opt. Quantum Electron. 25 489
[11] Bo Y, Geng A C, Bi Y, Sun Z P, Yang X D, Li R N, Cui D F, Xu Z Y 2006 Acta Phys. Sin. 55 1171
[12] He G Y, Guo J, Jiao Z X, Wang B 2012 Acta Phys. Sin. 61 094217(何广源, 郭靖, 焦中兴, 王彪 2012 物理学报 61 094217)
[13] Siegman A E 1974 Appl. Opt., AO 13 353
[14] Liu Q, Liu J, Gong M 2011 Appl. Optics 50 1186
[15] Han C H, Mu Y; Luo, H, Han L, Fang C, Wang S B, Wei L 2024 Laser & Infrared 179（韩昌昊, 穆宇, 罗辉, 韩隆, 方聪, 王思博, 魏磊 2024 激光与红外 179）
[16] Hauck R, Kortz H P, Weber H 1980 Appl. Opt., AO 19 598
[17] Woodward R I, Kelleher E J R 2016 Sci Rep 6 37616
[18] Fang Z, Pu G, Xu Y, Hu W, Yi L 2023 Opt. Express 31 41794
[19] Shi H, Fan R, He C, Wang J, Yang S, Xu M, Sun H, Li Y, Fu Q 2024 Photonics 11 164
[20] Liu Z, Dang Z, Liu Z, Li Y, He X, Dai Y, Chen Y, Peng P, Fang Z 2023 Photonics Res. 11 695
[21] Wang N, Lu Y T 2004 Chin. J. Lasers 1317(王宁,陆雨田 2004 中国激光 1317)
[22] Kirkpatrick S, Gelatt C, Vecchi M 1983 Science 220 671
[23] Zhao Z J, Xu S Y, Zheng S L, Yang X N 2009 Acta Phys. Sin. 58 5118
[24] Shapiro J 2001 Machine learning and its applications: advanced lectures Berlin, Heidelberg , 2001 pp146-168
[25] Li X P, Yang J, Zhang M S, Yang T L, Wang X J, Peng Q J 2022 Chin. Phys. B 31 084207
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