电阻式随机存取存储器的关键应用概述

IF 4.6 3区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY Nanoscale Advances Pub Date : 2024-09-09 DOI:10.1039/d4na00158c
Furqan Zahoor, Arshid Nisar, Usman Isyaku Bature, Haider Abbas, Faisal Bashir, Anupam Chattopadhyay, Brajesh Kumar Kaushik, Ali Alzahrani, Fawnizu Azmadi Hussin
{"title":"电阻式随机存取存储器的关键应用概述","authors":"Furqan Zahoor, Arshid Nisar, Usman Isyaku Bature, Haider Abbas, Faisal Bashir, Anupam Chattopadhyay, Brajesh Kumar Kaushik, Ali Alzahrani, Fawnizu Azmadi Hussin","doi":"10.1039/d4na00158c","DOIUrl":null,"url":null,"abstract":"The rapid advancement of new technologies has resulted in a surge of data, while conventional computers are nearing their computational limits. The prevalent von Neumann architecture, where processing and storage units operate independently, faces challenges such as data migration through buses, leading to decreased computing speed and increased energy loss. Ongoing research aims to enhance computing capabilities through the development of innovative chips and the adoption of new system architectures. One noteworthy advancement is Resistive Random Access Memory (RRAM), an emerging memory technology. RRAM can alter its resistance through electrical signals at both ends, retaining its state even after power-down. This technology holds promise in various areas, including logic computing, neural networks, brain-like computing, and integrated technologies combining sensing, storage, and computing. These cutting-edge technologies offer the potential to overcome the performance limitations of traditional architectures, significantly boosting computing power. This discussion explores the physical mechanisms, device structure, performance characteristics, and applications of RRAM devices. Additionally, we delve into the potential future adoption of these technologies at an industrial scale, along with prospects and upcoming research directions.","PeriodicalId":18806,"journal":{"name":"Nanoscale Advances","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An overview of critical applications of resistive random access memory\",\"authors\":\"Furqan Zahoor, Arshid Nisar, Usman Isyaku Bature, Haider Abbas, Faisal Bashir, Anupam Chattopadhyay, Brajesh Kumar Kaushik, Ali Alzahrani, Fawnizu Azmadi Hussin\",\"doi\":\"10.1039/d4na00158c\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid advancement of new technologies has resulted in a surge of data, while conventional computers are nearing their computational limits. The prevalent von Neumann architecture, where processing and storage units operate independently, faces challenges such as data migration through buses, leading to decreased computing speed and increased energy loss. Ongoing research aims to enhance computing capabilities through the development of innovative chips and the adoption of new system architectures. One noteworthy advancement is Resistive Random Access Memory (RRAM), an emerging memory technology. RRAM can alter its resistance through electrical signals at both ends, retaining its state even after power-down. This technology holds promise in various areas, including logic computing, neural networks, brain-like computing, and integrated technologies combining sensing, storage, and computing. These cutting-edge technologies offer the potential to overcome the performance limitations of traditional architectures, significantly boosting computing power. This discussion explores the physical mechanisms, device structure, performance characteristics, and applications of RRAM devices. Additionally, we delve into the potential future adoption of these technologies at an industrial scale, along with prospects and upcoming research directions.\",\"PeriodicalId\":18806,\"journal\":{\"name\":\"Nanoscale Advances\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanoscale Advances\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1039/d4na00158c\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanoscale Advances","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1039/d4na00158c","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

新技术的快速发展导致数据激增,而传统计算机的计算能力已接近极限。目前流行的冯-诺依曼体系结构,即处理单元和存储单元独立运行,面临着数据通过总线迁移等挑战,导致计算速度下降和能量损耗增加。正在进行的研究旨在通过开发创新芯片和采用新的系统架构来提高计算能力。电阻式随机存取存储器(RRAM)是一项值得关注的进步,它是一种新兴的存储器技术。RRAM 可以通过两端的电信号改变电阻,即使在断电后也能保持状态。这项技术有望应用于多个领域,包括逻辑计算、神经网络、类脑计算以及集传感、存储和计算于一体的集成技术。这些前沿技术有望克服传统架构的性能限制,大幅提升计算能力。本讨论将探讨 RRAM 器件的物理机制、器件结构、性能特点和应用。此外,我们还深入探讨了这些技术未来在工业规模上的潜在应用,以及前景和即将到来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An overview of critical applications of resistive random access memory
The rapid advancement of new technologies has resulted in a surge of data, while conventional computers are nearing their computational limits. The prevalent von Neumann architecture, where processing and storage units operate independently, faces challenges such as data migration through buses, leading to decreased computing speed and increased energy loss. Ongoing research aims to enhance computing capabilities through the development of innovative chips and the adoption of new system architectures. One noteworthy advancement is Resistive Random Access Memory (RRAM), an emerging memory technology. RRAM can alter its resistance through electrical signals at both ends, retaining its state even after power-down. This technology holds promise in various areas, including logic computing, neural networks, brain-like computing, and integrated technologies combining sensing, storage, and computing. These cutting-edge technologies offer the potential to overcome the performance limitations of traditional architectures, significantly boosting computing power. This discussion explores the physical mechanisms, device structure, performance characteristics, and applications of RRAM devices. Additionally, we delve into the potential future adoption of these technologies at an industrial scale, along with prospects and upcoming research directions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nanoscale Advances
Nanoscale Advances Multiple-
CiteScore
8.00
自引率
2.10%
发文量
461
审稿时长
9 weeks
期刊最新文献
L-cysteine capped MoS2 QDs for dual-channel imaging and superior Fe3+ ion sensing in biological systems NIR-triggered photooxygenation of α-terpinene with upconversion nanohybrids Catalytic amplification platform based on Fe2O3 nanoparticles decorated graphene nanocomposite for highly sensitive detection of rutin Back cover Optimization of plasmonic lens structure for maximum optical vortices induced on Weyl Semimetals Surface States
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1