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

Journals >Photonics Research >Volume 11 >Issue 5 >Page 695 > Article

Photonics Research
Vol. 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^*

Author Affiliations

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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DOI: 10.1364/PRJ.480845 Cite this Article Set citation alerts

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[J]. Photonics Research, 2023, 11(5): 695 Copy Citation Text

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