记忆电阻器
数码产品
材料科学
纳米技术
电阻随机存取存储器
柔性电子器件
计算机科学
电容感应
异质结
光电子学
电压
神经形态工程学
晶体管
电子工程
电子线路
人工神经网络
电气工程
人工智能
工程类
操作系统
作者
А. А. Бессонов,M. N. Kirikova,Dmitrii I. Petukhov,Mark Allen,Tapani Ryhänen,Marc J. A. Bailey
出处
期刊:Nature Materials
[Nature Portfolio]
日期:2014-11-10
卷期号:14 (2): 199-204
被引量:477
摘要
Novel computing technologies that imitate the principles of biological neural systems may offer low power consumption along with distinct cognitive and learning advantages. The development of reliable memristive devices capable of storing multiple states of information has opened up new applications such as neuromorphic circuits and adaptive systems. At the same time, the explosive growth of the printed electronics industry has expedited the search for advanced memory materials suitable for manufacturing flexible devices. Here, we demonstrate that solution-processed MoOx/MoS2 and WOx/WS2 heterostructures sandwiched between two printed silver electrodes exhibit an unprecedentedly large and tunable electrical resistance range from 10(2) to 10(8) Ω combined with low programming voltages of 0.1-0.2 V. The bipolar resistive switching, with a concurrent capacitive contribution, is governed by an ultrathin (<3 nm) oxide layer. With strong nonlinearity in switching dynamics, different mechanisms of synaptic plasticity are implemented by applying a sequence of electrical pulses.
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