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Eye accommodation-inspired neuro-metasurface focusing

Author

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  • Huan Lu

    (Zhejiang University
    The Electromagnetics Academy at Zhejiang University, Zhejiang University
    Jinhua Institute of Zhejiang University, Zhejiang University
    Zhejiang University)

  • Jiwei Zhao

    (Nanjing University)

  • Bin Zheng

    (Zhejiang University
    The Electromagnetics Academy at Zhejiang University, Zhejiang University
    Jinhua Institute of Zhejiang University, Zhejiang University
    Zhejiang University)

  • Chao Qian

    (Zhejiang University
    The Electromagnetics Academy at Zhejiang University, Zhejiang University
    Jinhua Institute of Zhejiang University, Zhejiang University
    Zhejiang University)

  • Tong Cai

    (Zhejiang University
    Air force Engineering University)

  • Erping Li

    (Zhejiang University
    The Electromagnetics Academy at Zhejiang University, Zhejiang University
    Jinhua Institute of Zhejiang University, Zhejiang University
    Zhejiang University)

  • Hongsheng Chen

    (Zhejiang University
    The Electromagnetics Academy at Zhejiang University, Zhejiang University
    Jinhua Institute of Zhejiang University, Zhejiang University
    Zhejiang University)

Abstract

The human eye, which relies on a flexible and controllable lens to focus light onto the retina, has inspired many scientific researchers to understand better and imitate the biological vision system. However, real-time environmental adaptability presents an enormous challenge for artificial eye-like focusing systems. Inspired by the mechanism of eye accommodation, we propose a supervised-evolving learning algorithm and design a neuro-metasurface focusing system. Driven by on-site learning, the system exhibits a rapid response to ever-changing incident waves and surrounding environments without any human intervention. Adaptive focusing is achieved in several scenarios with multiple incident wave sources and scattering obstacles. Our work demonstrates the unprecedented potential for real-time, fast, and complex electromagnetic (EM) wave manipulation for various purposes, such as achromatic, beam shaping, 6 G communication, and intelligent imaging.

Suggested Citation

  • Huan Lu & Jiwei Zhao & Bin Zheng & Chao Qian & Tong Cai & Erping Li & Hongsheng Chen, 2023. "Eye accommodation-inspired neuro-metasurface focusing," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39070-8
    DOI: 10.1038/s41467-023-39070-8
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    References listed on IDEAS

    as
    1. Ehsan Arbabi & Amir Arbabi & Seyedeh Mahsa Kamali & Yu Horie & MohammadSadegh Faraji-Dana & Andrei Faraon, 2018. "MEMS-tunable dielectric metasurface lens," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
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    3. Lianlin Li & Tie Jun Cui & Wei Ji & Shuo Liu & Jun Ding & Xiang Wan & Yun Bo Li & Menghua Jiang & Cheng-Wei Qiu & Shuang Zhang, 2017. "Electromagnetic reprogrammable coding-metasurface holograms," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    4. Wei Ting Chen & Alexander Y. Zhu & Jared Sisler & Zameer Bharwani & Federico Capasso, 2019. "A broadband achromatic polarization-insensitive metalens consisting of anisotropic nanostructures," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
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    Cited by:

    1. Tianshuo Qiu & Qiang An & Jianqi Wang & Jiafu Wang & Cheng-Wei Qiu & Shiyong Li & Hao Lv & Ming Cai & Jianyi Wang & Lin Cong & Shaobo Qu, 2024. "Vision-driven metasurfaces for perception enhancement," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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