记忆电阻器
铁电性
电阻器
材料科学
神经形态工程学
电压
纳米技术
计算机科学
电子工程
光电子学
电气工程
人工神经网络
工程类
人工智能
电介质
作者
André Chanthbouala,Vincent Garcia,R. O. Cherifi,K. Bouzéhouane,S. Fusil,Xavier Moya,Stéphane Xavier,Hiroyuki Yamada,C. Deranlot,N. D. Mathur,Manuel Bibès,A. Barthélémy,Julie Grollier
出处
期刊:Nature Materials
[Nature Portfolio]
日期:2012-09-14
卷期号:11 (10): 860-864
被引量:1058
摘要
Memristors are continuously tunable resistors that emulate biological synapses. Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of matter, although the details of the mechanism remain under debate. Purely electronic memristors based on well-established physical phenomena with albeit modest resistance changes have also emerged. Here we demonstrate that voltage-controlled domain configurations in ferroelectric tunnel barriers yield memristive behaviour with resistance variations exceeding two orders of magnitude and a 10 ns operation speed. Using models of ferroelectric-domain nucleation and growth, we explain the quasi-continuous resistance variations and derive a simple analytical expression for the memristive effect. Our results suggest new opportunities for ferroelectrics as the hardware basis of future neuromorphic computational architectures.
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