Self-supported flexible organic electrochemical synaptic transistors on self-healing composite electrolyte membranes

Author:

Yu Haoran123ORCID,Xu Yunchao123,Deng Zhonghui123,Jin Chenxing123,Liu Wanrong123,Shi Xiaofang12,Liu Jianzhou123,Sun Jia123ORCID,Yang Junliang13ORCID

Affiliation:

1. Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics, Central South University 1 , Changsha, Hunan 410083, People's Republic of China

2. State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University 2 , Changsha, Hunan 410083, People's Republic of China

3. Hunan Key Laboratory of Nanophotonics and Devices, School of Physics, Central South University 3 , 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China

Abstract

A variety of organic electrochemical transistors have been recently developed; however, their self-healing performance has been largely ignored. In this study, we propose the use of a lithium-ion composite electrolyte membrane as a dielectric layer and the use of poly(3-hexylthiophene) (P3HT) as a channel layer to fabricate flexible self-supporting organic synaptic transistors. A variety of synaptic behaviors were emulated within the proposed organic synaptic transistors. By leveraging the self-healing features of polymer electrolytes, along with cross-linking reactions and low-resistance lithium-ion transmission, the device maintained its electrical performance. Testing involving different curvatures also revealed the device's potential for use in flexible electronics. Significantly, due to the device's self-healing ability, consistent dataset recognition rates were sustained. This work highlights its vast prospects in the field of flexible and wearable electronics.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

AIP Publishing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3