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Type-printable photodetector arrays for multichannel meta-infrared imaging

Author

Listed:
  • Junxiong Guo

    (Chengdu University
    University of Electronic Science and Technology of China)

  • Shuyi Gu

    (Chengdu University)

  • Lin Lin

    (University of Electronic Science and Technology of China)

  • Yu Liu

    (Tsinghua University
    Nanjing University of Posts and Telecommunications)

  • Ji Cai

    (Chengdu University)

  • Hongyi Cai

    (Chengdu University)

  • Yu Tian

    (Beijing Normal University
    Ministry of Education)

  • Yuelin Zhang

    (Beijing Normal University
    Ministry of Education)

  • Qinghua Zhang

    (Beijing National Laboratory of Condensed Matter Physics)

  • Ze Liu

    (Chengdu University)

  • Yafei Zhang

    (Chengdu University)

  • Xiaosheng Zhang

    (University of Electronic Science and Technology of China)

  • Yuan Lin

    (University of Electronic Science and Technology of China)

  • Wen Huang

    (University of Electronic Science and Technology of China)

  • Lin Gu

    (Tsinghua University)

  • Jinxing Zhang

    (Beijing Normal University
    Ministry of Education)

Abstract

Multichannel meta-imaging, inspired by the parallel-processing capability of neuromorphic computing, offers considerable advancements in resolution enhancement and edge discrimination in imaging systems, extending even into the mid- to far-infrared spectrum. Currently typical multichannel infrared imaging systems consist of separating optical gratings or merging multi-cameras, which require complex circuit design and heavy power consumption, hindering the implementation of advanced human-eye-like imagers. Here, we present printable graphene plasmonic photodetector arrays driven by a ferroelectric superdomain for multichannel meta-infrared imaging with enhanced edge discrimination. The fabricated photodetectors exhibited multiple spectral responses with zero-bias operation by directly rescaling the ferroelectric superdomain instead of reconstructing the separated gratings. We also demonstrated enhanced and faster shape classification (98.1%) and edge detection (98.2%) using our multichannel infrared images compared with single-channel detectors. Our proof-of-concept photodetector arrays simplify multichannel infrared imaging systems and offer potential solutions in efficient edge detection in human-brain-type machine vision.

Suggested Citation

  • Junxiong Guo & Shuyi Gu & Lin Lin & Yu Liu & Ji Cai & Hongyi Cai & Yu Tian & Yuelin Zhang & Qinghua Zhang & Ze Liu & Yafei Zhang & Xiaosheng Zhang & Yuan Lin & Wen Huang & Lin Gu & Jinxing Zhang, 2024. "Type-printable photodetector arrays for multichannel meta-infrared imaging," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49592-4
    DOI: 10.1038/s41467-024-49592-4
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