Resistive Memory Devices at the Thinnest Limit: Progress and Challenges

Author:

Li Xiao‐Dong1,Chen Nian‐Ke1,Wang Bai‐Qian1,Niu Meng1,Xu Ming2,Miao Xiangshui2,Li Xian‐Bin1ORCID

Affiliation:

1. State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering Jilin University Changchun 130012 China

2. School of Integrated Circuits Huazhong University of Science and Technology Wuhan 430074 China

Abstract

AbstractThe Si‐based integrated circuits industry has been developing for more than half a century, by focusing on the scaling‐down of transistor. However, the miniaturization of transistors will soon reach its physical limits, thereby requiring novel material and device technologies. Resistive memory is a promising candidate for in‐memory computing and energy‐efficient synaptic devices that can satisfy the computational demands of the future applications. However, poor cycle‐to‐cycle and device‐to‐device uniformities hinder its mass production. 2D materials, as a new type of semiconductor, is successfully employed in various micro/nanoelectronic devices and have the potential to drive future innovation in resistive memory technology. This review evaluates the potential of using the thinnest advanced materials, that is, monolayer 2D materials, for memristor or memtransistor applications, including resistive switching behavior and atomic mechanism, high‐frequency device performances, and in‐memory computing/neuromorphic computing applications. The scaling‐down advantages of promising monolayer 2D materials including graphene, transition metal dichalcogenides, and hexagonal boron nitride are presented. Finally, the technical challenges of these atomic devices for practical applications are elaborately discussed. The study of monolayer‐2D‐material‐based resistive memory is expected to play a positive role in the exploration of beyond‐Si electronic technologies.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jilin Province

Publisher

Wiley

Reference115 articles.

1. CPU DB: Recording Microprocessor History

2. I. S.Bustany J.Jung P. H.Madden N.Viswanathan S.Yang presented atProceedings of the 2021 International Symposium on Physical Design Association for Computing Machinery New York 22–24 Mar 2021.

3. A two-dimensional outlook

4. Scaling for edge inference of deep neural networks

5. Logic-in-memory based on an atomically thin semiconductor

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3