Artificial Intelligence-Enabled Mode-Locked Fiber Laser:A Review  

作　　者：Qiuying Ma Haoyang Yu 

机构地区：[1]Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,China [2]School of Automation,Central South University,Changsha 410083,China

出　　处：《Nanomanufacturing and Metrology》2023年第4期95-108,共14页纳米制造与计量（英文）

基　　金：supported by the National Natural Science Foundation of China(62203473);Hunan Provincial Natural Science Foundation(2023JJ40778).

摘　　要：Owing to their compactness,robustness,low cost,high stability,and difraction-limited beam quality,mode-locked fber lasers play an indispensable role in micro/nanomanufacturing,precision metrology,laser spectroscopy,LiDAR,biomedi-cal imaging,optical communication,and soliton physics.Mode-locked fber lasers are a highly complex nonlinear optical system,and understanding the underlying physical mechanisms or the fexible manipulation of ultrafast laser output is chal-lenging.The traditional research paradigm often relies on known physical models,sophisticated numerical calculations,and exploratory experimental attempts.However,when dealing with several complex issues,these traditional approaches often face limitations and struggles in fnding efective solutions.As an emerging data-driven analysis and processing technology,artifcial intelligence(AI)has brought new insights into the development of mode-locked fber lasers.This review highlights the areas where AI exhibits potential in accelerating the development of mode-locked fber lasers,including nonlinear dynamics prediction,ultrashort pulse characterization,inverse design,and automatic control of mode-locked fber lasers.Furthermore,the challenges and potential future development are discussed.

关 键 词：Artifcial intelligence Mode-locked fber lasers Ultrafast optics Intelligent optimization Machine learning Deep learning 

分 类 号：TN248[电子电信—物理电子学]