详细信息

Efficient Carbon-Based Optoelectronic Synapses for Dynamic Visual Recognition  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Efficient Carbon-Based Optoelectronic Synapses for Dynamic Visual Recognition

作者:Liu, Wenhao[1];Wang, Jihong[1,2];Guo, Jiahao[2];Wang, Lin[3];Gu, Zhen[2];Wang, Huifeng[2];Fang, Haiping[1]

机构:[1]East China Univ Sci & Technol, Sch Phys, Shanghai 20023, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Zhejiang Lab, Hangzhou 311100, Peoples R China

年份:2025

卷号:12

期号:11

外文期刊名:ADVANCED SCIENCE

收录:;EI(收录号:20250517795176);WOS:【SCI-EXPANDED(收录号:WOS:001401351700001)】;

基金:The authors acknowledge financial support by the National Key Research and Development Program of China under Grant No. 2022YFB2901000, the National Natural Science Foundation of China under Grant Nos. 12204436 and 62103148, the Science and Technology Innovation Plan of Shanghai Science and Technology Commission of China under Grant No. 23JC1401400, and the Science and Technology Program of Zhejiang under Grant No. 2022C01108.

语种:英文

外文关键词:2D heterostructure; C60; dynamic vision; graphene oxide; optoelectronic synapse

摘要:The human visual nervous system excels at recognizing and processing external stimuli, essential for various physiological functions. Biomimetic visual systems leverage biological synapse properties to improve memory encoding and perception. Optoelectronic devices mimicking these synapses can enhance wearable electronics, with layered heterojunction materials being ideal materials for optoelectronic synapses due to their tunable properties and biocompatibility. However, conventional synthesis methods are complex and environmentally harmful, leading to issues such as poor stability and low charge transfer efficiency. Therefore, it is imperative to develop a more efficient, convenient, and eco-friendly method for preparing layered heterojunction materials. Here, a one-step ultrasonic method is employed to mix fullerene (C60) with graphene oxide (GO), yielding a homogeneous layered heterojunction composite film via self-assembly. The biomimetic optoelectronic synapse based on this film achieves 97.3% accuracy in dynamic visual recognition tasks and exhibits capabilities such as synaptic plasticity. Experiments utilizing X-ray photoelectron spectroscopy (XPS), X-ray diffraction spectroscopy (XRD), Fourier-transform infrared spectroscopy (FTIR), ultraviolet-visible spectroscopy (UV-vis), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) confirms stable pi-pi interactions between GO and C60, facilitating electron transfer and prolonging carrier recombination times. The novel approach leveraging high-density pi electron materials advances artificial intelligence and neuromorphic systems.

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