神经形态工程学
记忆电阻器
石墨烯
氧化物
材料科学
纳米技术
电阻随机存取存储器
制作
数码产品
计算机科学
光电子学
电压
电气工程
人工神经网络
人工智能
工程类
医学
替代医学
病理
冶金
作者
Samuele Porro,Eugenio Accornero,Candido Fabrizio Pirri,Carlo Ricciardi
出处
期刊:Carbon
[Elsevier]
日期:2015-04-01
卷期号:85: 383-396
被引量:124
标识
DOI:10.1016/j.carbon.2015.01.011
摘要
Memristors are nanoscale devices able to generate intense fields by the application of relatively low voltages, which warrants peculiar properties such as fast, non-volatile and low-energy electrical switching, as well as the possibility of retaining their internal resistance state according to the history of applied voltage and current. Memristors are predicted to revolutionize the current approaches in computer electronics architecture with their application, for instance, as resistive random access memory. Moreover they are indicated as the first brick to create neuromorphic systems and artificial intelligence. The use of graphene oxide as active material for memristive switching systems offers an exciting alternative to other classes of materials, such as transition metal oxide and organic thin films. Graphene oxide is electrically insulating due to the presence of oxygen functionalities, with the advantage of being truly atomically-thin, which makes it the perfect candidate for the fabrication of memristive devices. Different mechanisms were recently proposed for graphene oxide memristive systems, but a definitive evidence in their support is still missing. This challenge has stimulated an extensive activity towards a robust and predictive understanding of the physical phenomena that lie behind this peculiar behavior. A comparative review of several graphene oxide memristive devices is here provided, with a distinction between two different mechanisms for resistance switching: oxygen ions drift and metal filament formation.
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