Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Huang Liangjin"'
Autor:
Hou Mengdie, Xu Mengjun, Xu Jiangtao, Lu Jiafeng, An Yi, Huang Liangjin, Zeng Xianglong, Pang Fufei, Li Jun, Yi Lilin
Publikováno v:
Nanophotonics, Vol 12, Iss 15, Pp 3165-3177 (2023)
Structured optical fields, such as cylindrical vector (CV) and orbital angular momentum (OAM) modes, have attracted considerable attention due to their polarization singularities and helical phase wavefront structure. However, one of the most critica
Externí odkaz:
https://doaj.org/article/08e00ad1109646d6896f7961edefedf5
Autor:
Zhang, Yang, Xu, Jiangming, Liang, Junrui, Li, Sicheng, Ye, Jun, Ma, Xiaoya, Yao, Tianfu, Pan, Zhiyong, Huang, Liangjin, Leng, Jinyong, Zhou, Pu
Publikováno v:
In Optics and Laser Technology July 2024 174
Autor:
Li, Haobo, Wu, Hanshuo, Li, Ruixian, Huang, Liangjin, Xiao, Hu, Yang, Huan, Yan, Zhiping, Pan, Zhiyong, Zhou, Pu
Publikováno v:
In Optics Communications 15 June 2024 561
Autor:
An, Yi, Zhang, Yuqiu, Huang, Liangjin, Chang, Qi, Leng, Jinyong, Pan, Zhiyong, Jiang, Zongfu, Zhou, Pu
Publikováno v:
In Optics and Laser Technology December 2023 167
Autor:
Xu, Mengjun, Hou, Mengdie, Luo, Xinhui, Xu, Jiangtao, Chen, Wei, An, Yi, Zeng, Xianglong, Li, Jun, Huang, Liangjin
Publikováno v:
In Optics and Laser Technology December 2023 167
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 our knowledge, deep learning-based modal decomposition (MD) of HG beams
Externí odkaz:
http://arxiv.org/abs/1907.06081
Publikováno v:
Optics Express, 27, 18683-18694 (2019)
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. The deep convolutional neural network (CNN) is trained with paired data
Externí odkaz:
http://arxiv.org/abs/1904.11983
Autor:
Xie, Kun, Liu, Wenguang, Zhou, Qiong, Huang, Liangjin, Jiang, Zongfu, Xi, Fengjie, Xu, Xiaojun
Publikováno v:
Opt. Express 27, 13793-13802 (2019)
We propose and demonstrate a method for the adaptive wavefront correction of dynamic multimode fiber beams for the first time. The wavefront of incident beam is reconstructed in real-time based on the complete modal information, which obtained by usi
Externí odkaz:
http://arxiv.org/abs/1903.10023
Autor:
Hou, Tianyue, An, Yi, Chang, Qi, Ma, Pengfei, Li, Jun, Huang, Liangjin, Zhi, Dong, Wu, Jian, Su, Rongtao, Ma, Yanxing, Zhou, Pu
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 model, the phase error in CBC systems could be accurately estimated an
Externí odkaz:
http://arxiv.org/abs/1903.03983
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