Organic Synaptic Transistors Based on a Semiconductor Heterojunction for Artificial Visual and Neuromorphic Functions.

Journal: Nano letters
PMID: 39960419

Abstract

Visual acuity is the ability of the biological retina to distinguish images. High-sensitivity image acquisition improves the quality of visual perception, making images more recognizable for the visual system. Therefore, developing synaptic phototransistors with enhanced photosensitivity is crucial for high-performance artificial vision. Here, organic synaptic phototransistors (OSPs) based on p-n type semiconductor heterojunctions are presented, which demonstrate improved photoresponses and light storage characteristics. As many as 800 potentiation-depression states can be obtained, and the nonlinearity extracted from the long-term potentiation curve is only 0.08. Furthermore, by utilizing light-adjustable synapse-like behaviors, the phototransistors realize a noise reduction function and logic gate transformation. Benefiting from the enhanced photosensitivity of the OSPs, an artificial neural network constructed based on the OSPs shows the recognition accuracy of ∼93% for both handwritten numbers and electrocardiography signals. This research provides an effective path for developing OSPs with enhanced photoelectric performance to advance artificial visual systems.

Authors

  • Pu Guo
    Department of Urology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital & Affiliated Hospital of the University of Electronic Science and Technology of China, Chengdu, 610072, China.
  • Junyao Zhang
    Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia.
  • Zhekun Hua
    School of Materials Science and Engineering, Tongji University, Shanghai 201804, China.
  • Tongrui Sun
    School of Materials Science and Engineering, Tongji University, Shanghai 201804, China.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
  • Shilei Dai
    School of Materials Science and Engineering, Tongji University, Shanghai 201804, P. R. China. huangjia@tongji.edu.cn.
  • Lize Xiong
    Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai Fourth People's Hospital Affiliated to Tongji University, Tongji University, Shanghai, 200434, P. R. China. lizexiong@tongji.edu.cn.
  • Jia Huang
    Shanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University (SJTU), Shanghai 200030, China.

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