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Machine-learning reprogrammable metasurface imager

Author

Listed:
  • Lianlin Li

    (Peking University)

  • Hengxin Ruan

    (Peking University)

  • Che Liu

    (Southeast University)

  • Ying Li

    (National University of Singapore)

  • Ya Shuang

    (Peking University)

  • Andrea Alù

    (City University of New York
    City University of New York
    City College of New York)

  • Cheng-Wei Qiu

    (National University of Singapore)

  • Tie Jun Cui

    (Southeast University)

Abstract

Conventional microwave imagers usually require either time-consuming data acquisition, or complicated reconstruction algorithms for data post-processing, making them largely ineffective for complex in-situ sensing and monitoring. Here, we experimentally report a real-time digital-metasurface imager that can be trained in-situ to generate the radiation patterns required by machine-learning optimized measurement modes. This imager is electronically reprogrammed in real time to access the optimized solution for an entire data set, realizing storage and transfer of full-resolution raw data in dynamically varying scenes. High-accuracy image coding and recognition are demonstrated in situ for various image sets, including hand-written digits and through-wall body gestures, using a single physical hardware imager, reprogrammed in real time. Our electronically controlled metasurface imager opens new venues for intelligent surveillance, fast data acquisition and processing, imaging at various frequencies, and beyond.

Suggested Citation

  • Lianlin Li & Hengxin Ruan & Che Liu & Ying Li & Ya Shuang & Andrea Alù & Cheng-Wei Qiu & Tie Jun Cui, 2019. "Machine-learning reprogrammable metasurface imager," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09103-2
    DOI: 10.1038/s41467-019-09103-2
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    Citations

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    Cited by:

    1. Ali Momeni & Romain Fleury, 2022. "Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Xin Wang & Jia Qi Han & Guan Xuan Li & De Xiao Xia & Ming Yang Chang & Xiang Jin Ma & Hao Xue & Peng Xu & Rui Jie Li & Kun Yi Zhang & Hai Xia Liu & Long Li & Tie Jun Cui, 2023. "High-performance cost efficient simultaneous wireless information and power transfers deploying jointly modulated amplifying programmable metasurface," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Weihan Li & Qian Ma & Che Liu & Yunfeng Zhang & Xianning Wu & Jiawei Wang & Shizhao Gao & Tianshuo Qiu & Tonghao Liu & Qiang Xiao & Jiaxuan Wei & Ting Ting Gu & Zhize Zhou & Fashuai Li & Qiang Cheng &, 2023. "Intelligent metasurface system for automatic tracking of moving targets and wireless communications based on computer vision," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    5. Zi Wang & Lorry Chang & Feifan Wang & Tiantian Li & Tingyi Gu, 2022. "Integrated photonic metasystem for image classifications at telecommunication wavelength," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    6. Hongrui Zhang & Yanjin Chen & Zhuo Wang & Tie Jun Cui & Philipp Hougne & Lianlin Li, 2024. "Semantic regularization of electromagnetic inverse problems," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. 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.
    8. Wenzhi Li & Qiyue Yu & Jing Hui Qiu & Jiaran Qi, 2024. "Intelligent wireless power transfer via a 2-bit compact reconfigurable transmissive-metasurface-based router," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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