Carbon-based memristors for resistive random access memory and neuromorphic applications
Fan Yang, Zhaorui Liu, Xumin Ding, Yang Li, Cong Wang, Guozhen Shen
Abstract
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.