.png){kind=icon}
返回
Soft Memristor at a Microbubble Interface
.png){kind=icon}
PRE
AI
DOI：10.1021/acs.nanolett.4c02136.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Microbubble
Memristor
Liquid films
Soft matter
Hebbian learning
Liquid computing
期刊
IF:
9.1
论文数:
2.7W
被引数:
16.5W
机构
引用论文
Fluid learning: Mimicking brain computing with neuromorphic nanofluidic devices流体学习: 用神经形态纳米流体设备模拟大脑计算.png)
NANO TODAY
OAAI
NANO TODAYIF10.9
OAAI分享收藏分享收藏
An Efficient Memristor-Based Circuit Implementation of Squeeze-and-Excitation Fully Convolutional Neural Networks一种基于忆阻器的挤压-激励全卷积神经网络的高效电路实现
PREAI
分享收藏A criticism of the proposed regional extent of late cenozioc arid zone advances into south-western AustraliaCATENA
CATENAIF0
PREAI
分享收藏分享收藏Early hominid hunting, butchering, and carcass-processing behaviors: Approaches to the fossil record
PREAI
分享收藏
查看更多内容