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二维材料类脑器件
引用本文:王爽, 梁世军, 缪峰. 二维材料类脑器件[J]. 物理, 2022, 51(5): 319-327. DOI: 10.7693/wl20220504
作者姓名:王爽  梁世军  缪峰
作者单位:1.南京大学物理学院 人工微结构科学与技术协同创新中心 固体微结构物理国家重点实验室 南京 210093
基金项目:国家重点研发计划(批准号: 2019YFB2205400,2019YFB2205402)、国家自然科学基金(批准号:62034004,62122036,61625402,61974176,61921005)资助项目;中科院战略性先导科技专项(批准号: XDB44000000)
摘    要:研究类脑器件是构建一个能够与大脑相媲美的类脑信息处理系统的重要基础。二维材料凭借优异的电学与光电特性、可多自由度调控以及可三维垂直集成等优势,为设计多功能的类脑器件提供了丰富的材料和机制选择。文章围绕二维材料及异质结类脑器件的设计展开,通过总结最近的重要研究进展,探究该领域未来可能面临的机遇与挑战。

关 键 词:二维材料  类脑器件  感算一体  存算一体
收稿时间:2021-11-05

Two-dimensional materials for neuromorphic devices
WANG Shuang, LIANG Shi-Jun, MIAO Feng. Two-dimensional materials for neuromorphic devices[J]. PHYSICS, 2022, 51(5): 319-327. DOI: 10.7693/wl20220504
Authors:WANG Shuang  LIANG Shi-Jun  MIAO Feng
Affiliation:1.National Laboratory of Solid State Microstructures,Collaborative Innovation Center of Advanced Microstructures,School of Physics,Nanjing University,Nanjing 210093,China
Abstract:Construction of brain-inspired systems that emulate the information processing capability of the human brain relies on studies of neuromorphic devices. Twodimensional materials, which possess excellent electric and photoelectric characteristics, multiple degrees of freedom of control, as well as great potential in three-dimensional vertical integration, provide the foundation of the device physics for designing multifunctional neuromorphic devices. In this article we present an overview of recent important progress associated with two-dimensional materials and van der Waals heterostructure neuromorphic devices, and also discuss future opportunities and challenges.
Keywords:two-dimensional material  neuromorphic device  in-sensor computing  in-memory computing
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