Study on energy and information storage properities of 2D-MXene/polyimide composites

材料科学 复合材料 聚酰亚胺 复合数 同步辐射 储能 电压 电场 形状记忆合金 计算机数据存储 电气工程 计算机科学 光学 物理 功率(物理) 图层(电子) 量子力学 工程类 操作系统
作者
Xiaoxu Liu,Dongyang Chen,Yang Chen,Yanpeng Li,Yu Feng,Jialong Li,Yue Dong,Jiawei Zhang,Yao Li,Jinghua Yin
出处
期刊:Composites Part B-engineering [Elsevier BV]
卷期号:241: 110014-110014 被引量:31
标识
DOI:10.1016/j.compositesb.2022.110014
摘要

The memristor is a basic unit of advanced information storage devices. As a passive device, it needs additional bias voltage to drive, which brings great challenges to the development of highly integrated of memristors. Therefore, it is urgent to develop highly reliable functional materials with both resistance memory and electric energy storage properties. Herein, with the introduction of Ti3C2TX nanosheets (TCTNs) into a polyimide matrix, we take the lead in realizing synchronous resistance memory characteristics and energy storage performance in one material system. With the addition of only 0.5 wt% TCTNs, the charge-discharge energy storage density of the polyimide (PI)-based composite increased by approximately 30%, and showed the memristor characteristics. More encouragingly, the composites also exhibited a massive increase in mechanical flexibility and electrical reliability. The slightly ordered arrangement of TCTNs in the PI matrix was confirmed by synchrotron radiation SAXS and HR-TEM. Finite element analysis was used to simulate the redistribution of the stress field and electric field of these composites in the presence of different distribution states of TCTNs. The chemical valence state and the atomic structure of TCTNs in the PI matrix were investigated by synchrotron radiation XAFS technology. DFT calculation models were established to calculate the evolution of the energy band structure of TCTNs during the synthesis process of the composites, determining the synergistic enhancement mechanism of energy storage and information storage properties in TCTNs/PI composites. This study is expected to provide a material candidate of highly integrated and reliable self-powered information storage devices.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
jerry发布了新的文献求助10
1秒前
2秒前
淡然葶完成签到 ,获得积分10
4秒前
yier发布了新的文献求助30
4秒前
简单的路灯完成签到,获得积分10
4秒前
4秒前
三模蕾缪安完成签到,获得积分10
5秒前
MoYE完成签到 ,获得积分10
6秒前
6秒前
7秒前
田様应助研友_GZ35vL采纳,获得10
8秒前
ikunreal完成签到 ,获得积分10
9秒前
李健的小迷弟应助SMY采纳,获得10
9秒前
10秒前
Titi完成签到 ,获得积分10
10秒前
10秒前
缥缈的书南完成签到,获得积分10
12秒前
13秒前
Dimple发布了新的文献求助10
14秒前
16秒前
17秒前
zxiaoo完成签到,获得积分10
17秒前
mix完成签到,获得积分10
18秒前
tutou完成签到,获得积分10
19秒前
ikunreal关注了科研通微信公众号
20秒前
jiao完成签到,获得积分20
20秒前
Akim应助虚幻可冥采纳,获得10
21秒前
24秒前
科研通AI6.1应助儒雅的城采纳,获得10
24秒前
Hello应助jerry采纳,获得10
27秒前
研友_GZ35vL发布了新的文献求助10
30秒前
明杰完成签到,获得积分10
31秒前
33秒前
Robbins发布了新的文献求助10
33秒前
闲乘月完成签到,获得积分10
34秒前
菲菲发布了新的文献求助10
38秒前
大火炉发布了新的文献求助10
40秒前
刺1656完成签到,获得积分10
41秒前
王海祥发布了新的文献求助30
41秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353802
求助须知:如何正确求助?哪些是违规求助? 8168918
关于积分的说明 17194868
捐赠科研通 5410005
什么是DOI,文献DOI怎么找? 2863885
邀请新用户注册赠送积分活动 1841285
关于科研通互助平台的介绍 1689925