169 citations · 718 across the 26 of their papers we have counts for
6 papers · 1 filter
Unveiling the temporal dynamics in multi-longitudinal mode ytterbium-doped fiber lasers
Wei Liu, Pengfei Ma, Pu Zhou +1
In this work, we propose a unified spatio-temporal model to study the temporal dynamics in continuously pumped ytterbium-doped fiber lasers (YDFLs). Different from previously repor…
Kilowatt-level Yb-Raman fiber amplifier with narrow-linewidth and near-diffraction-limited beam quality
Pengfei Ma, Yu Miao, Wei Liu +2
By focusing on a typical emitting wavelength of 1120 nm as an example, we present the first demonstration of a high-efficiency, narrow-linewidth kilowatt-level all-fiber amplifier…
Effects of four-wave-mixing in high-power Raman fiber amplifiers
Wei Liu, Pengfei Ma, Pu Zhou +1
In this work, we derive and present the coupled amplitude equations to describe the evolutions of different spectral components in different transverse modes for Raman fiber amplif…
Preliminary study on the modal decomposition of Hermite Gaussian beams via deep learning
Yi An, Tianyue Hou, Jun Li +4
The Hermite-Gaussian (HG) modes make up a complete and orthonormal basis, which have been extensively used to describe optical fields. Here, we demonstrate, for the first time to o…
Deep learning enabled superfast and accurate M^2 evaluation for fiber beams
Yi An, Jun Li, Liangjin Huang +3
We introduce deep learning technique to predict the beam propagation factor M^2 of the laser beams emitting from few-mode fiber for the first time, to the best of our knowledge. Th…
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…