Inverse prediction of ultrashort pulse nonlinear propagation in optical fibers  

作　　者：Jiayang Cheng Runmin Liu Yanqing Shi Minglie Hu 成嘉阳;刘润民;石岩青;胡明列(Ultrafast Laser Laboratory,Key Laboratory of Opto-electronic Information Technology,Ministry of Education,School of Precision Instruments and Opto-electronics Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]Ultrafast Laser Laboratory,Key Laboratory of Opto-electronic Information Technology,Ministry of Education,School of Precision Instruments and Opto-electronics Engineering,Tianjin University,Tianjin 300072,China

出　　处：《Chinese Optics Letters》2024年第11期111-116,共6页中国光学快报(英文版)

基　　金：supported by the National Natural Science Foundation of China (Nos.61827821 and 62227821)。

摘　　要：Recently, artificial intelligence has been proven as an effective modeling tool in ultrafast optics;its application in the design of ultrafast laser systems is a promising issue. In this Letter, a method based on a feed-forward neural network(FNN) model with a simple structure is adopted to inversely predict the full-field supercontinuum generation and recover the initial pulse.The performance of the FNN and its dependence on the predicted pulse features are further explored by a reconstruction test. The generalization ability of the proposed method is further demonstrated in the case with an initial chirp.

关 键 词：ultrafast optics SUPERCONTINUUM neural networks nonlinear dynamics prediction 

分 类 号：TN2[电子电信—物理电子学]