Physics-data-driven intelligent optimization for large-aperture metalenses

Physics-data-driven intelligent optimization for large-aperture metalenses

Metalenses have gained significant attention and have been widely utilized in optical systems for focusing and imaging, owing to their lightweight, high-integration, and exceptional-flexibility capabilities. Traditional design methods neglect the coupling effect between adjacent meta-atoms, thus har...

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Bibliographic Details
Main Authors: Yingli Ha, Yu Luo, Mingbo Pu, Fei Zhang, Qiong He, Jinjin Jin, Mingfeng Xu, Yinghui Guo, Xiaogang Li, Xiong Li, Xiaoliang Ma, Xiangang Luo
Format: Article
Language:English
Published: Institue of Optics and Electronics, Chinese Academy of Sciences 2023-11-01
Series:Opto-Electronic Advances
Subjects:
intelligence method
physics-data-driven method
inverse design
large-aperture metalenses
Online Access:https://www.oejournal.org/article/doi/10.29026/oea.2023.230133

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https://www.oejournal.org/article/doi/10.29026/oea.2023.230133

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