神经形态工程学
记忆电阻器
石墨烯
材料科学
仿真
计算机科学
纳米技术
可重构性
氧化物
光电子学
电子工程
人工智能
人工神经网络
工程类
经济增长
电信
经济
冶金
作者
Yang Li,Songtao Ling,Ruiyu He,Cheng Zhang,Yue Dong,Chunlan Ma,Yucheng Jiang,Ju Gao,Jinghui He,Qichun Zhang
出处
期刊:Nano Research
[Springer Science+Business Media]
日期:2023-05-24
卷期号:16 (8): 11278-11287
被引量:49
标识
DOI:10.1007/s12274-023-5789-5
摘要
Graphene oxide (GO)-based memristors offer the promise of low cost, eco-friendliness, and mechanical flexibility, making them attractive candidates for outstanding flexible electronic devices. However, their resistive transitions often display abrupt change rather than bidirectional progressive tuning, which largely limits their applications for biological synapse emulation and neuromorphic computing. Here, a memristor with a novel layered structure of GO/pyridinium/GO is presented with tunable bidirectional feature. The inserted organic pyridinium intercalation succeeds in serving as a satisfactory buffer layer to intrinsically control the formation of conductive filaments during device operation, leading to progressive conductance regulation. Thus, the essential synaptic behaviors including analog memory characteristics, excitatory postsynaptic current, paired pulse facilitation, prepulse inhibition, spike-timing-dependent plasticity, and spike-rate-dependent plasticity are replicated. The emulation of brainlike “learning-forgetting-relearning” process is also implemented. Additionally, the instant responses of the memristor can be stimulated by low operational voltages and short pulse widths. This study paves one way for GO-based memristors to actuate appealing features such as bidirectional tuning and fast speed switching that are desirable for the development of bio-inspired neuromorphic systems.
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