神经形态工程学
记忆电阻器
电阻随机存取存储器
碳纤维
纳米技术
计算机科学
材料科学
人工智能
工程类
电子工程
电气工程
人工神经网络
算法
复合数
电压
作者
Fan Yang,Zhaorui Liu,Xumin Ding,Yang Li,Cong Wang,Guozhen Shen
出处
期刊:Chip
[Elsevier]
日期:2024-02-01
卷期号:: 100086-100086
标识
DOI:10.1016/j.chip.2024.100086
摘要
As a typical representative of nanomaterials, carbon nanomaterials have attracted widespread attention in the construction of electronic devices due to their unique physical and chemical properties, multi-dimensionality, multi-hybridization methods and excellent electronic properties. Especially in recent years, memristors based on carbon nanomaterials have flourished in the field of building non-volatile memory devices and neuromorphic applications. In this paper, the preparation methods and structural characteristics of carbon nanomaterials of different dimensions are systematically reviewed. Then, the structural characteristics and working mechanism of memristors based on carbon nanomaterials of different dimensions are discussed in depth. Finally, the potential applications of carbon-based memristors in logic operations, neural network construction, artificial vision systems, artificial tactile systems, and multimodal perception systems are introduced. We believe this paper will provide guidance for the future development of high-quality information storage, high-performance neuromorphic applications, and high-sensitivity bionic sensing based on carbon-based memristors.
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