记忆电阻器
神经形态工程学
材料科学
光电子学
铁电性
电容器
电压
极化(电化学)
电阻式触摸屏
纳米技术
计算机科学
电子工程
电气工程
化学
工程类
人工神经网络
物理化学
电介质
机器学习
作者
Pradeep Chaudhary,Haidong Lu,Alexey Lipatov,Zahra Ahmadi,James P. V. McConville,Andrei Sokolov,Jeffrey E. Shield,Alexander Sinitskii,J. M. Gregg,Alexei Gruverman
出处
期刊:Nano Letters
[American Chemical Society]
日期:2020-06-23
卷期号:20 (8): 5873-5878
被引量:39
标识
DOI:10.1021/acs.nanolett.0c01836
摘要
Application of conducting ferroelectric domain walls (DWs) as functional elements may facilitate development of conceptually new resistive switching devices. In a conventional approach, several orders of magnitude change in resistance can be achieved by controlling the DW density using supercoercive voltage. However, a deleterious characteristic of this approach is high-energy cost of polarization reversal due to high leakage current. Here, we demonstrate a new approach based on tuning the conductivity of DWs themselves rather than on domain rearrangement. Using LiNbO3 capacitors with graphene, we show that resistance of a device set to a polydomain state can be continuously tuned by application of subcoercive voltage. The tuning mechanism is based on the reversible transition between the conducting and insulating states of DWs. The developed approach allows an energy-efficient control of resistance without the need for domain structure modification. The developed memristive devices are promising for multilevel memories and neuromorphic computing applications.
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