Self-design of arbitrary polarization-control waveplates via deep neural networks

Zhengchang Liu; Zhibo Dang; Zhixin Liu; Yu Li; Xiao He; Yuchen Dai; Yuxiang Chen; Pu Peng; Zheyu Fang

doi:10.1364/PRJ.480845

Photonics Research, Volume. 11, Issue 5, 695(2023)

Self-design of arbitrary polarization-control waveplates via deep neural networks Spotlight on Optics

Zhengchang Liu^1、†, Zhibo Dang^1、†, Zhixin Liu, Yu Li, Xiao He, Yuchen Dai, Yuxiang Chen, Pu Peng, and Zheyu Fang^*

School of Physics, State Key Lab for Mesoscopic Physics, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Center of Quantum Matter, Yangtze Delta Institute of Optoelectronics, and Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China

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Zhengchang Liu, Zhibo Dang, Zhixin Liu, Yu Li, Xiao He, Yuchen Dai, Yuxiang Chen, Pu Peng, Zheyu Fang, "Self-design of arbitrary polarization-control waveplates via deep neural networks," Photonics Res. 11, 695 (2023)

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Paper Information

Category: Nanophotonics and Photonic Crystals

Received: Nov. 22, 2022

Accepted: Jan. 8, 2023

Published Online: Apr. 13, 2023

The Author Email: Zheyu Fang (zhyfang@pku.edu.cn)

DOI:10.1364/PRJ.480845

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology