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Co-assembled perylene/graphene oxide photosensitive heterobilayer for efficient neuromorphics

Author

Listed:
  • He-Shan Zhang

    (Nanjing Tech University (NanjingTech))

  • Xue-Mei Dong

    (Nanjing Tech University (NanjingTech))

  • Zi-Cheng Zhang

    (Nanjing Tech University (NanjingTech))

  • Ze-Pu Zhang

    (Nanjing Tech University (NanjingTech))

  • Chao-Yi Ban

    (Nanjing Tech University (NanjingTech))

  • Zhe Zhou

    (Nanjing Tech University (NanjingTech))

  • Cheng Song

    (Nanjing Tech University (NanjingTech))

  • Shi-Qi Yan

    (Shandong University)

  • Qian Xin

    (Shandong University)

  • Ju-Qing Liu

    (Nanjing Tech University (NanjingTech))

  • Yin-Xiang Li

    (Nanjing Tech University (NanjingTech))

  • Wei Huang

    (Nanjing Tech University (NanjingTech)
    Nanjing University of Posts and Telecommunications
    Northwestern Polytechnical University)

Abstract

Neuromorphic electronics, which use artificial photosensitive synapses, can emulate biological nervous systems with in-memory sensing and computing abilities. Benefiting from multiple intra/interactions and strong light-matter coupling, two-dimensional heterostructures are promising synaptic materials for photonic synapses. Two primary strategies, including chemical vapor deposition and physical stacking, have been developed for layered heterostructures, but large-scale growth control over wet-chemical synthesis with comprehensive efficiency remains elusive. Here we demonstrate an interfacial coassembly heterobilayer films from perylene and graphene oxide (GO) precursors, which are spontaneously formed at the interface, with uniform bilayer structure of single-crystal perylene and well-stacked GO over centimeters in size. The planar heterostructure device exhibits an ultrahigh specific detectivity of 3.1 × 1013 Jones and ultralow energy consumption of 10−9 W as well as broadband photoperception from 365 to 1550 nm. Moreover, the device shows outstanding photonic synaptic behaviors with a paired-pulse facilitation (PPF) index of 214% in neuroplasticity, the heterosynapse array has the capability of information reinforcement learning and recognition.

Suggested Citation

  • He-Shan Zhang & Xue-Mei Dong & Zi-Cheng Zhang & Ze-Pu Zhang & Chao-Yi Ban & Zhe Zhou & Cheng Song & Shi-Qi Yan & Qian Xin & Ju-Qing Liu & Yin-Xiang Li & Wei Huang, 2022. "Co-assembled perylene/graphene oxide photosensitive heterobilayer for efficient neuromorphics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32725-y
    DOI: 10.1038/s41467-022-32725-y
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    References listed on IDEAS

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    Cited by:

    1. Jian Yao & Qinan Wang & Yong Zhang & Yu Teng & Jing Li & Pin Zhao & Chun Zhao & Ziyi Hu & Zongjie Shen & Liwei Liu & Dan Tian & Song Qiu & Zhongrui Wang & Lixing Kang & Qingwen Li, 2024. "Ultra-low power carbon nanotube/porphyrin synaptic arrays for persistent photoconductivity and neuromorphic computing," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Pengshan Xie & Yunchao Xu & Jingwen Wang & Dengji Li & Yuxuan Zhang & Zixin Zeng & Boxiang Gao & Quan Quan & Bowen Li & You Meng & Weijun Wang & Yezhan Li & Yan Yan & Yi Shen & Jia Sun & Johnny C. Ho, 2024. "Birdlike broadband neuromorphic visual sensor arrays for fusion imaging," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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