activity
20152022
most citedIncoherently pumped high-power linearly-polarized single-mode random fiber laser: experimental investigations and theoretical prospects

71 citations · 218 across the 15 of their papers we have counts for

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Showing 2019 · physics.opticsShow all

5 papers · 2 filters

physics.optics2019

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…

physics.optics2019

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…

physics.optics2019★ 19 cited

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…

physics.optics2019

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…

physics.optics2019★ 3 cited

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…