Large-scale high uniform optoelectronic synapses array for artificial visual neural network  

作　　者：Fanqing Zhang Chunyang Li Zhicheng Chen Haiqiu Tan Zhongyi Li Chengzhai Lv Shuai Xiao Lining Wu Jing Zhao 

机构地区：[1]State Key Laboratory of Explosion Science and Safety Protection,Beijing Institute of Technology,Ministry of Education,100081 Beijing,China [2]School of Mechatronical Engineering,Beijing Institute of Technology,100081 Beijing,China [3]Beijing Advanced Innovation Center for Intelligent Robots and Systems,Beijing Institute of Technology,100081 Beijing,China [4]Laser Micro/Nano Fabrication Laboratory,School of Mechanical Engineering,Beijing Institute of Technology,100081 Beijing,China [5]School of Mechanical Engineering,Beijing Institute of Technology,100081 Beijing,China

出　　处：《Microsystems & Nanoengineering》2025年第1期247-256,共10页微系统与纳米工程(英文)

基　　金：supported by National Natural Science Foundation of China(NSFC,Grand No.62127810,61804009);State Key Laboratory of Explosion Science and Safety Protection(QNKT24-03),Xiaomi Young Scholar,Beijing Institute of Technology Research Fund Program for Young Scholars and Analysis&Testing Center,Beijing Institute of Technology.

摘　　要：Recently,the biologically inspired intelligent artificial visual neural system has aroused enormous interest.However,there are still significant obstacles in pursuing large-scale parallel and efficient visual memory and recognition.In this study,we demonstrate a 28×28 synaptic devices array for the artificial visual neuromorphic system,within the size of 0.7×0.7 cm 2,which integrates sensing,memory,and processing functions.The highly uniform floating-gate synaptic transistors array were constructed by the wafer-scale grown monolayer molybdenum disulfide with Au nanoparticles(NPs)acting as the electrons capture layers.Various synaptic plasticity behaviors have been achieved owing to the switchable electronic storage performance.The excellent optical/electrical coordination capabilities were implemented by paralleled processing both the optical and electrical signals the synaptic array of 784 devices,enabling to realize the badges and letters writing and erasing process.Finally,the established artificial visual convolutional neural network(CNN)through optical/electrical signal modulation can reach the high digit recognition accuracy of 96.5%.Therefore,our results provide a feasible route for future large-scale integrated artificial visual neuromorphic system.

关 键 词：optoelectronic synapses monolayer molybdenum disulfide artificial visual neural system convolutional neural network artificial visual neuromorphic systemwithin artificial visual neural network floating gate transistors synaptic plasticity 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]