记忆电阻器
范德瓦尔斯力
蛋白质丝
材料科学
电极
层压
纳米技术
神经形态工程学
导电体
电阻随机存取存储器
电铸
光电子学
图层(电子)
计算机科学
电子工程
化学
复合材料
工程类
人工神经网络
有机化学
物理化学
机器学习
分子
作者
Wei Tong,Wei Wei,Xiangzhe Zhang,Shuimei Ding,Zheyi Lu,Liting Liu,Wanying Li,Chen Pan,Lingan Kong,Yiliu Wang,Mengjian Zhu,Shi‐Jun Liang,Feng Miao,Yuan Liu
出处
期刊:Nano Letters
[American Chemical Society]
日期:2023-10-20
卷期号:23 (21): 9928-9935
被引量:2
标识
DOI:10.1021/acs.nanolett.3c02888
摘要
Memristors have attracted considerable attention in the past decade, holding great promise for future neuromorphic computing. However, the intrinsic poor stability and large device variability remain key limitations for practical application. Here, we report a simple method to directly visualize the origin of poor stability. By mechanically removing the top electrodes of memristors operated at different states (such as SET or RESET), the memristive layer could be exposed and directly characterized through conductive atomic force microscopy, providing two-dimensional area information within memristors. Based on this technique, we observed the existence of multiple conducting filaments during the formation process and built up a physical model between filament numbers and the cycle-to-cycle variation. Furthermore, by improving the interface quality through the van der Waals top electrode, we could reduce the filament number down to a single filament during all switching cycles, leading to much controlled switching behavior and reliable device operation.
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