71 citations · 83 across the 6 of their papers we have counts for
6 papers
Deep learning-based phase control method for coherent beam combining and its application in generating orbital angular momentum beams
Tianyue Hou, Yi An, Qi Chang +8
We incorporate deep learning (DL) into coherent beam combining (CBC) systems for the first time, to the best of our knowledge. Using a well-trained convolutional neural network DL…
Optical rogue wave in random distributed feedback fiber laser
Jiangming Xu, Jian Wu, Jun Ye +4
The famous demonstration of optical rogue wave (RW)-rarely and unexpectedly event with extremely high intensity-had opened a flourishing time for temporal statistic investigation a…
Spectral adjustment of a powerful random fiber laser
Jun Ye, Jiangming Xu, Hanshuo Wu +4
Random fiber laser (RFL) based on random distributed feedback and Raman gain has earned much attention in recent years. In this presentation, we demonstrate a powerful linearly pol…
Self-started stable pulsing operation of random fiber laser
Jiangming Xu, Jun Ye, Hanwei Zhang +5
Unlike traditional fiber laser with defined resonant cavity, random fiber laser (RFL), whose operation is based on distributed gain and feedback via Rayleigh scattering and stimula…
High power highly stable passively Q-switched fiber laser based on monolayer graphene
Hanshuo Wu, Jiaxin Song, Jian Wu +4
We demonstrate a monolayer graphene based passively Q-switched fiber laser with three-stage amplifiers that can deliver over 80 W average power at 1064 nm. The highest average powe…
Incoherently pumped high-power linearly-polarized single-mode random fiber laser: experimental investigations and theoretical prospects
Jiangming Xu, Zhaokai Lou, Jun Ye +5
We present a hundred-watt-level linearly-polarized random fiber laser (RFL) pumped by incoherent broadband amplified spontaneous emission (ASE) source and prospect the power scalin…