Development and outlook of emerging neuromorphic piezotronic devices

被引:0
|
作者
Sun, Qijun [1 ]
Kim, Sang-Woo [2 ]
Qin, Yong [3 ]
机构
[1] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, Beijing, Peoples R China
[2] Yonsei Univ, Seoul, South Korea
[3] Lanzhou Univ, Beijing Inst Technol, Lanzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Piezotronic devices; Neuromorphic; Piezopotential; Transistors; Artificial synapse; ATOMIC-LAYER MOS2; PIEZO-PHOTOTRONICS; GRAPHENE; SENSOR; PERFORMANCE; TRANSISTORS; MATRIX;
D O I
10.1557/s43577-024-00851-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the emergence of artificial intelligence and big data, computer hardware and systems have encountered significant pressure from rapidly growing data. A promising approach to resolve this embarrassing situation is the use of a neuromorphic device inspired by biological nervous systems that can overcome the von Neumann bottleneck. Piezotronic neuromorphic devices can spatiotemporally modulate electrical transport properties by piezopotential and associate external mechanical motion with electrical output signals directly in an active manner, showing great capability to sense, store, and process information of external stimuli. In this article, we discuss multifunctional applications of neuromorphic piezotronic devices, including bionic sensing, storage, logic computing, and electrical/optical synapses. In the context of future challenges and perspectives, we discuss ways to modulate novel neuromorphic devices with piezoelectric effects more effectively. It is believed that neuromorphic piezotronic devices are promising solutions for the next generation of interactive sensory/memory/computing, which facilitates the development of the Internet of Things, artificial intelligence, biomedical engineering, etc.Graphical AbstractEmerging neuromorphic piezotronic devices.
引用
收藏
页码:147 / 156
页数:10
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