Toward a self-driving ultrafast fiber laser 被引量：3

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摘要 Femtosecond pulses from an ultrafast mode-locked fiber laser can be optimized in real time by combining single-shot spectral measurements with a smart genetic algorithm to actively control and drive the intracavity dynamics.

作者 Fanchao Meng John M.Dudley

机构地区 Universite Bourgogne Franche-Comte

出处《Light(Science & Applications)》 SCIE EI CAS CSCD 2020年第1期1757-1759,共3页 光（科学与应用)（英文版）

关键词 FIBER laser FEMTO

分类号 TN248 [电子电信—物理电子学]

引文网络
相关文献

参考文献1

1Guoqing Pu,Lilin Yi,Li Zhang,Chao Luo,Zhaohui Li,Weisheng Hu.Intelligent control of mode-locked femtosecond pulses by time-stretch-assisted real-time spectral analysis[J].Light(Science & Applications),2020,9(1):1881-1888. 被引量：20

共引文献19

1Guoqing PU,Li ZHANG,Weisheng HU,Lilin YI.Automatic mode-locking fiber lasers: progress and perspectives[J].Science China(Information Sciences),2020,63(6):115-138. 被引量：8
2宋宇锋,张晗.基于智能算法的光子器件研究展望[J].中兴通讯技术,2020,26(6):64-68. 被引量：1
3曾和平,彭俊松.锁模光纤激光器时变动力学[J].光学学报,2021,41(1):228-244. 被引量：2
4董自凯,宋晏蓉.光纤激光器被动锁模技术研究进展[J].中国激光,2021,48(5):92-107. 被引量：17
5Philippe Grelu.Smart lasers tame complex spatiotemporal cavity dynamics[J].Light(Science & Applications),2020,9(1):181-183.
6QIUQUAN YAN,QINGHUI DENG,JUN ZHANG,YING ZHU,KE YIN,TENG LI,DAN WU,TIAN JIANG.Low-latency deep-reinforcement learning algorithm for ultrafast fiber lasers[J].Photonics Research,2021,9(8):1493-1501. 被引量：9
7杨昌喜,赵康俊,曹博,高晨心,肖晓晟.单腔双光梳锁模光纤激光器及其应用研究进展[J].中国激光,2021,48(15):3-19. 被引量：8
8张逸文,蔡宇,苑莉薪,胡明列.基于循环神经网络的超短脉冲光纤放大器模型(特邀)[J].红外与激光工程,2022,51(1):195-201. 被引量：1
9Dong Mao,Zhiwen He,Yusong Zhang,Yueqing Du,Chao Zeng,Ling Yun,Zhichao Luo,Tijian Li,Zhipei Sun,Jianlin Zhao.Phase-matching-induced near-chirp-free solitons in normal-dispersion fiber lasers[J].Light(Science & Applications),2022,11(2):230-241. 被引量：9
10彭家俊,李晓辉,郗孙凡,焦可钦.机器学习策略下的超快光子学设计:回顾与展望(特邀)[J].光子学报,2022,51(8):314-328. 被引量：1

同被引文献17

1窦志远,田金荣,李克轩,于振华,胡梦婷,霍明超,宋晏蓉.高重复频率全光纤被动锁模掺铒光纤激光器[J].物理学报,2015,64(6):169-173. 被引量：6
2韦小乐,魏淮,盛泉,付士杰,史伟,姚建铨.重复频率1.2GHz皮秒脉冲全光纤掺镱激光器[J].光子学报,2019,48(11):162-169. 被引量：5
3于晨,田文龙,朱江峰,魏志义,徐晓东.高功率掺镱全固态飞秒激光器[J].红外与激光工程,2019,48(11):29-35. 被引量：3
4Guoqing PU,Li ZHANG,Weisheng HU,Lilin YI.Automatic mode-locking fiber lasers: progress and perspectives[J].Science China(Information Sciences),2020,63(6):115-138. 被引量：8
5YIQING CHANG,HAO WU,CAN ZHAO,LI SHEN,SONGNIAN FU,MING TANG.Distributed Brillouin frequency shift extraction via a convolutional neural network[J].Photonics Research,2020,8(5):690-697. 被引量：9
6TIANKUANG ZHOU,LU FANG,TAO YAN,JIAMIN WU,YIPENG LI,JINGTAO FAN,HUAQIANG WU,XING LIN,QIONGHAI DA.In situ optical backpropagation training of diffractive optical neural networks[J].Photonics Research,2020,8(6):940-953. 被引量：15
7Yanan Han,Shuiying Xiang,Yang Wang,Yuanting Ma,Bo Wang,Aijun Wen,Yue Hao.Generation of multi-channel chaotic signals with time delay signature concealment and ultrafast photonic decision making based on a globally-coupled semiconductor laser network[J].Photonics Research,2020,8(11):1792-1799. 被引量：7
8田小青,李晓辉.光纤激光器中高斯脉冲输出特性影响因素的探究[J].聊城大学学报（自然科学版）,2021,34(1):36-42. 被引量：1
9Jingxi Li,Deniz Mengu,Yi Luo,Yair Rivenson,Aydogan Ozcan.Class-specific differential detection in diffractive optical neural networks improves inference accuracy[J].Advanced Photonics,2019,1(4):2-14. 被引量：21
10Jianhui Ma,Zun Piao,Shuang Huang,Xiaoman Duan,Genggeng Qin,Linghong Zhou,Yuan Xu.Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation[J].Photonics Research,2021,9(3). 被引量：6

引证文献3

1QIUQUAN YAN,QINGHUI DENG,JUN ZHANG,YING ZHU,KE YIN,TENG LI,DAN WU,TIAN JIANG.Low-latency deep-reinforcement learning algorithm for ultrafast fiber lasers[J].Photonics Research,2021,9(8):1493-1501. 被引量：9
2黄玺玮,李晓辉,郭潇潇,唐旭,张锐.300 MHz、139 fs全光纤超短脉冲激光器[J].聊城大学学报（自然科学版）,2024,37(3):1-7.
3曾和平,吴修齐,彭俊松.分形激光精密控制研究综述[J].计测技术,2024,44(3):3-20.

二级引证文献9

1ZHAN LI,SHUAISHUAI YANG,QI XIAO,TIANYU ZHANG,YONG LI,LU HAN,DEAN LIU,XIAOPING OUYANG,JIANQIANG ZHU.Deep reinforcement with spectrum series learning control for a mode-locked fiber laser[J].Photonics Research,2022,10(6):1491-1500. 被引量：3
2彭家俊,李晓辉,郗孙凡,焦可钦.机器学习策略下的超快光子学设计:回顾与展望(特邀)[J].光子学报,2022,51(8):314-328. 被引量：1
3吴函烁,蒋敏,周朴.人工智能赋能激光:现状、机遇与挑战[J].中国激光,2023,50(11):3-15. 被引量：3
4马云聪,梁兆恒,凌琳,郭元锴,李子豪,韦小明,杨中民.智能调控多维激光技术与应用[J].中国激光,2023,50(11):43-62. 被引量：1
5吴修齐,彭俊松,张颖,曾和平.智能锁模光纤激光器的原理与研究进展[J].中国激光,2023,50(11):76-95. 被引量：3
6罗仪豪,张峻,杜世银,颜求泉,赵泽宇,陶梓隆,周侗,江天.基于深度学习的超材料设计及光纤光束控制研究进展[J].中国激光,2023,50(11):96-114. 被引量：1
7隋皓,朱宏娜,贾焕玉,欧洺余,李祺,罗斌,邹喜华.深度学习策略下光纤中超短脉冲非线性传输过程表征及控制研究进展[J].中国激光,2023,50(11):162-170.
8Qiuying Ma,Haoyang Yu.Artificial Intelligence-Enabled Mode-Locked Fiber Laser:A Review[J].Nanomanufacturing and Metrology,2023,6(4):95-108.
9罗超,义理林,蒲国庆.智能技术赋能飞秒激光:表征与控制(特邀)[J].激光与光电子学进展,2024,61(1):223-243.

1Guoqing Pu,Lilin Yi,Li Zhang,Chao Luo,Zhaohui Li,Weisheng Hu.Intelligent control of mode-locked femtosecond pulses by time-stretch-assisted real-time spectral analysis[J].Light(Science & Applications),2020,9(1):1881-1888. 被引量：20
2Xiaohe Hu,Yang Xiang,Yifan Li,Buyi Qiu,Kai Wang,Jun Li.Trident: Efficient and Practical Software Network Monitoring[J].Tsinghua Science and Technology,2021,26(4):452-463. 被引量：2

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