神经形态工程学
记忆电阻器
材料科学
电阻器
接口(物质)
磁滞
电压
纳米技术
工作(物理)
光电子学
二极管
电子工程
计算机科学
电气工程
凝聚态物理
物理
复合材料
机械工程
工程类
人工神经网络
润湿
坐滴法
机器学习
作者
Yueke Niu,Yu Ma,Yanbo Xie
出处
期刊:Nano Letters
[American Chemical Society]
日期:2024-08-08
卷期号:24 (34): 10475-10481
被引量:1
标识
DOI:10.1021/acs.nanolett.4c02136
摘要
Memristors show promising features for neuromorphic computing. Here we report a soft memristor based on the liquid–vapor surface of a microbubble. The thickness of the liquid film was modulated by electrostatic and interfacial forces, enabling resistance switches. We found a pinched current hysteresis at scanning periods between 1.6 and 51.2 s, while representing a resistor below 1.6 s and a diode-like behavior above 51.2 s. We approximate the thickening/thinning dynamics of liquid film by pressure-driven flow at the interface and derived the impacts of salt concentration and voltage amplitude on the memory effects. Our work opens a new approach to building nanofluidic memristors by a soft interface, which may be useful for new types of neuromorphic computing in the future.
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