材料科学
记忆电阻器
电动现象
神经形态工程学
纳米流体学
微尺度化学
电压
聚二甲基硅氧烷
接口(物质)
磁滞
光电子学
纳米技术
计算机科学
电子工程
电气工程
物理
工程类
凝聚态物理
人工神经网络
人工智能
数学教育
复合材料
数学
毛细管数
毛细管作用
作者
Kexin Chen,Makusu Tsutsui,Fuwei Zhuge,Yue Zhou,Yaoyao Fu,Yuhui He,Xiangshui Miao
标识
DOI:10.1002/aelm.202000848
摘要
Abstract As a novel class of memristors, nanochannel‐based interfacial memristors in polydimethylsiloxane offer great flexibility and low cost. With practical attributes of novel transport phenomenon in nanofluidics, analysis of the physical properties and operational mechanisms in such memristor devices is possible. Made of pure soft‐matter materials, this type of device exhibits facile tuning of device conductance via the modification of solution interface positions. Under continuous sweep voltage, a typical hysteresis loop for a memristor can be observed. In this article, the dynamic frequency characteristics of this device is measured, which is regarded as a typical memristor characteristic as previously predicted. However, the physical mechanism behind such memristive behaviors and frequency characteristics is seldomly reported. Generalizing conventional physical models, here a comprehensive model including continuous voltage changes and surface tension modifications is proposed, which is able to predict the interface position changes and explain the conductance switching and frequency property experimentally observed in the device. Provided with a probable explanation of the physical mechanism behind this class of device, the model can serve as a candidate method in designing new nanochannel‐based structures or materials, aiming at more novel functionalities in neuromorphic computation.
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