Organic heterojunction synaptic device with ultra high recognition rate for neuromorphic computing

作     者：Xuemeng Hu Jialin Meng Tianyang Feng Tianyu Wang Hao Zhu Qingqing Sun David Wei Zhang Lin Chen 

作者机构：School of MicroelectronicsState Key Laboratory of Integrated Chips and SystemsFudan UniversityShanghai 200433China National Integrated Circuit Innovation CenterShanghai 201203China 

出 版 物：《Nano Research》 (纳米研究（英文版）)

年 卷 期：2024年第17卷第6期

页      面：5614-5620页

核心收录：

学科分类：080903[工学-微电子学与固体电子学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0809[工学-电子科学与技术（可授工学、理学学位）] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the National Key Research and Development Program of China(No.2021YFA1202600) the National Natural Science Foundation of China(Nos.92064009 and 22175042) the Science and Technology Commission of Shanghai Municipality(No.22501100900) the China Postdoctoral Science Foundation(Nos.2022TQ0068 and 2023M740644) the Shanghai Sailing Program(Nos.23YF1402200 and 23YF1402400) Jiashan Fudan Institute 

主　　题：organic heterojunction neuromorphic computing synapse behaviors optical modulation Modified National Institute of Standards and Technology(MNIST)pattern recognition 

摘      要：Traditional computing structures are blocked by the von Neumann bottleneck,and neuromorphic computing devices inspired by the human brain which integrate storage and computation have received more and more ***,a flexible organic device with 2,7-dioctyl[1]benzothieno[3,2-b][1]benzothiophene(C8-BTBT)and 2,9-didecyldinaphtho[2,3-b:2′,3′-f]thieno[3,2-b]thiophene(C10-DNTT)heterostructural channel having excellent synaptic behaviors was fabricated on muscovite(MICA)substrate,which has a memory window greater than 20 *** device shows better electrical characteristics than organic field effect transistors with single organic semiconductor ***,the device simulates organism synaptic behaviors successfully,such as paired-pulse facilitation(PPF),long-term potentiation/depression(LTP/LTD)process,and transition from short-term memory(STM)to long-term memory(LTM)by optical and electrical ***,the neuromorphic computing function was verified using the Modified National Institute of Standards and Technology(MNIST)pattern recognition,with a recognition rate nearly 100%without *** research proposes a flexible organic heterojunction with the ultra-high recognition rate in MNIST pattern recognition and provides the possibility for future flexible wearable neuromorphic computing devices.