神经形态工程学
记忆电阻器
硫系化合物
非易失性存储器
计算机科学
有可能
电阻随机存取存储器
晶体管
物联网
阈下传导
纳米技术
材料科学
电气工程
计算机硬件
嵌入式系统
人工神经网络
工程类
光电子学
人工智能
电压
心理治疗师
心理学
作者
Wenbin Zuo,Qihang Zhu,Yuyang Fu,Yu Zhang,Tianqing Wan,Yi Li,Ming Xu,Xiangshui Miao
出处
期刊:Journal of Semiconductors
[IOP Publishing]
日期:2023-05-01
卷期号:44 (5): 053102-053102
被引量:14
标识
DOI:10.1088/1674-4926/44/5/053102
摘要
Abstract With rapid advancement and deep integration of artificial intelligence and the internet-of-things, artificial intelligence of things has emerged as a promising technology changing people’s daily life. Massive growth of data generated from the devices challenges the AIoT systems from information collection, storage, processing and communication. In the review, we introduce volatile threshold switching memristors, which can be roughly classified into three types: metallic conductive filament-based TS devices, amorphous chalcogenide-based ovonic threshold switching devices, and metal-insulator transition based TS devices. They play important roles in high-density storage, energy efficient computing and hardware security for AIoT systems. Firstly, a brief introduction is exhibited to describe the categories (materials and characteristics) of volatile TS devices. And then, switching mechanisms of the three types of TS devices are discussed and systematically summarized. After that, attention is focused on the applications in 3D cross-point memory technology with high storage-density, efficient neuromorphic computing, hardware security (true random number generators and physical unclonable functions), and others (steep subthreshold slope transistor, logic devices, etc. ). Finally, the major challenges and future outlook of volatile threshold switching memristors are presented.
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