Emerging Low-Dimensional Heterostructure Devices for Neuromorphic Computing

被引:15
|
作者
Liang, Shi-Jun [1 ]
Li, Yixiang [1 ]
Cheng, Bin [2 ]
Miao, Feng [1 ]
机构
[1] Nanjing Univ, Collaborat Innovat Ctr Adv Microstruct, Sch Phys, Inst Brain Inspired Intelligence,Natl Lab Solid S, Nanjing 210093, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Sci, Inst Interdisciplinary Phys Sci, Nanjing 210094, Peoples R China
来源
SMALL STRUCTURES | 2022年 / 3卷 / 10期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
low-dimensional heterostructures; neuromorphic computing; neuromorphic electronics; neuromorphic optoelectronics; neuromorphic spintronics; DER-WAALS HETEROSTRUCTURES; 2-DIMENSIONAL MATERIALS; NOBEL LECTURE; SENSOR; 2D; INTEGRATION; TRANSISTORS; TRANSITION; CHALLENGES; MECHANISM;
D O I
10.1002/sstr.202200064
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Over the last few decades, advance in material science has made it possible to control the dimensions of materials structures with atomic scale precision and to realize various low-dimensional heterostructures. These heterostructures have been widely used in the electronic and spintronic as well as optoelectronic devices, with great success. Engineering the dimensionality and physical properties of low-dimensional materials enables to design a large variety of low-dimensional artificial heterostructures. The inherent physical properties that these emerging low-dimensional heterostructures exhibit open unprecedented opportunities for neuromorphic computing applications, e.g., neuromorphic electronics, neuromorphic spintronics, and neuromorphic optoelectronics, which lay the foundation for building up intelligent system in the future. Herein, the current main status of the emerging low-dimensional heterostructures used in neuromorphic electronic, neuromorphic spintronic, and neuromorphic optoelectronic devices is reviewed, and the relevant challenges and outlook for future advances are discussed.
引用
收藏
页数:14
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