Tyrosine-mediated analog resistive switching for artificial neural networks  

作　　者：Min-Kyu Song Seok Daniel Namgung Hojung Lee Jeong Hyun Yoon Young-Woong Song Kang Hee Cho Yoon-Sik Lee Jong-Seok Lee Ki Tae Nam Jang-Yeon Kwon 

机构地区：[1]School of Integrated Technology,Yonsei University,Incheon 21983,Republic of Korea [2]Department of Mechanical Engineering,Massachusetts Institute of Technology,MA 02139,USA [3]Research Laboratory of Electronics,Massachusetts Institute of Technology,MA 02139,USA [4]Department of Materials Science and Engineering,Seoul National University,Seoul 08826,Republic of Korea [5]Soft Foundry,Seoul National University,Seoul 08826,Republic of Korea [6]School of Chemical and Biological Engineering,Seoul National University,Seoul 08826,Republic of Korea

出　　处：《Nano Research》2023年第1期858-864,共7页纳米研究（英文版）

基　　金：This work was funded by a National Research Foundation of Korea(NRF)grant from the Korean government(MSIT)(No.2020R1A2C2004864);S.D.N.acknowledges the support by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI),funded by the Ministry of Health&Welfare,Republic of Korea(No.HI19C1234).

摘　　要：The fourth industrial revolution indispensably brings explosive data processing and storage;thus,a new computing paradigm based on artificial intelligence-enabling device structure is urgently required.Memristors have received considerable attention in this regard because of their ability to process and store data at the same location.However,fundamental problems with abrupt switching characteristics limit their practical application.To address this problem,we utilized the concept of metaplasticity inspired by biosystems and observed gradual switching in the peptide-based memristor at high proton conductivity.An unexpectedly high slope value>1.7 in the logI–V curve at low voltage(≤400 mV)was considered the main origin,and it might arise from the modulatory response of proton ions on the threshold of Ag ion migration in the peptide film.With the obtained gradual switching property at high proton conductivity,the device showed significantly increased accuracy of image recognition(~82.5%).We believe that such a demonstration not only contributes to the practical application of neuromorphic devices but also expands the bioinspired functional synthetic platform.

关 键 词：artificial synapse neuromorphic computing proton conductor peptide materials artificial neural network 

分 类 号：O57[理学—粒子物理与原子核物理]