Affiliation:
1. Hubei Yangtze Memory Laboratories, Wuhan 430070, China
2. Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan 430062, China
Abstract
Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices. Two-dimensional materials possess unique characteristics such as near-atomic thickness, dangling-bond-free surfaces, and excellent mechanical properties. These features, which traditional electronic materials cannot achieve, hold great promise for high-performance neuromorphic computing devices with the advantages of high energy efficiency and integration density. This article provides a comprehensive overview of various 2D materials, including graphene, transition metal dichalcogenides (TMDs), hexagonal boron nitride (h-BN), and black phosphorus (BP), for neuromorphic computing applications. The potential of these materials in neuromorphic computing is discussed from the perspectives of material properties, growth methods, and device operation principles.
Subject
General Materials Science,General Chemical Engineering
Reference86 articles.
1. Synaptic computation;Abbott;Nature,2004
2. The Dynamic Synapse;Choquet;Neuron,2013
3. The Mechanisms and Functions of Synaptic Facilitation;Jackman;Neuron,2017
4. Large-scale neuromorphic computing systems;Furber;J. Neural Eng.,2016
5. Feng, C., Beygi, M., Frewin, C.L., Tanjil, R.-E., Kumar, A., Wang, M.C., and Saddow, S.E. (2021). TMS 2021 150th Annual Meeting & Exhibition Supplemental Proceedings, Springer International Publishing.