典型文献
Optical synaptic devices with ultra-low power consumption for neuromorphic computing
文献摘要：
Brain-inspired neuromorphic computing,featured by parallel computing,is considered as one of the most energy-effiicient and time-saving architectures for massive data computing.However,photonic synapse,one of the key components,is still sufffering high power consumption,potentially limiting its applications in artificial neural system.In this study,we present a BP/CdS heterostructure-based artificial photonic synapse with ultra-low power consumption.The device shows remarkable negative light response with maximum responsivity up to 4.1 x 108AW-1 at VD=0.5 V and light power intensity of 0.16 pW cm-2(1.78×108 A W-1 on average),which further enables artificial synaptic applications with average power consumption as low as 4.78 fJ for each training process,representing the lowest among the reported results.Finally,a fully-connected optoelectronic neural network(FONN)is simulated with maximum image recognition accuracy up to 94.1％.This study provides new concept towards the designing of energy-efficient artificial photonic synapse and shows great potential in high-performance neuromorphic vision systems.
文献关键词：
中图分类号：
作者姓名：
Chenguang Zhu;Huawei Liu;Wengiang Wang;Li Xiang;Jie Jiang;Qin Shuai;Xin Yang;Tian Zhang;Biyuan Zheng;Hui Wang;Dong Li;Anlian Pan
作者机构：
Key Laboratory for Micro-Nano Physics and Technology of Hunan Province,State Key Laboratory of Chemo/Biosensing and Chemometrics,College of Materials Science and Engineering,Hunan University,410082 Changsha,China;Hunan Institute of Optoelectronic Integration,Hunan University,410082 Changsha,China;School of Physics and Electronics,Central South University,410083 Changsha,China
文献出处：
引用格式：
[1]Chenguang Zhu;Huawei Liu;Wengiang Wang;Li Xiang;Jie Jiang;Qin Shuai;Xin Yang;Tian Zhang;Biyuan Zheng;Hui Wang;Dong Li;Anlian Pan-.Optical synaptic devices with ultra-low power consumption for neuromorphic computing)[J].光：科学与应用（英文版）,2022(12):3008-3017
A类：
effiicient,sufffering,108AW,FONN
B类：
Optical,synaptic,devices,ultra,power,consumption,neuromorphic,computing,Brain,inspired,featured,by,parallel,considered,most,energy,saving,architectures,massive,data,However,photonic,synapse,key,components,still,high,potentially,limiting,its,applications,artificial,neural,In,this,study,CdS,heterostructure,shows,remarkable,negative,light,response,maximum,responsivity,up,VD,intensity,pW,average,which,further,enables,fJ,each,training,process,representing,lowest,among,reported,results,Finally,fully,connected,optoelectronic,network,simulated,image,recognition,accuracy,This,provides,new,concept,towards,designing,efficient,great,performance,vision,systems
AB值：
0.547715
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