A review on footsteps of a revolution in electronics: Spin memristors

IF 10 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Abeer Al-Edresi , Gülcan Aydin , Mouna El Abboubi , Sinan Kazan , İdris Candan , Sait Eren San
{"title":"A review on footsteps of a revolution in electronics: Spin memristors","authors":"Abeer Al-Edresi ,&nbsp;Gülcan Aydin ,&nbsp;Mouna El Abboubi ,&nbsp;Sinan Kazan ,&nbsp;İdris Candan ,&nbsp;Sait Eren San","doi":"10.1016/j.mtphys.2025.101760","DOIUrl":null,"url":null,"abstract":"<div><div>Spin memristors are devices that use electron spin to make memory technology scalable, high-performance, and energy-efficient. These devices offer significant advantages over traditional memristors, including faster switching, lower energy consumption, and enhanced durability. This review study summarizes current research and offers specific conclusions regarding the basic ideas, material compositions, and device designs of spin memristors. Additionally, significant advancements are discussed, including a tenfold increase, improved switching efficiency, millisecond-scale operation, and extended lifespan. The review study outlines the evolution of memristor technology and its role in neuromorphic computing, focusing on fundamental mechanisms such as magnetoresistance, spin transfer torque, and voltage-controlled magnetic anisotropy. The latest advancements in spin-orbit torque (SOT) devices, hybrid constructions using two-dimensional (2D) materials, and magnetic tunnel junctions (MTJs) are also discussed. Moreover, potential applications in neuromorphic computing, quantum information processing, and advanced computing paradigms are also explored in the study. To help researchers fill important gaps in material optimization, scalability, and integration with conventional electronics, this work offers practical insights. By bridging the gap between traditional memristors and spintronics, this review will serve the purpose of contributing to the advancement and commercialization of spin memristors in next-generation computing systems.</div></div>","PeriodicalId":18253,"journal":{"name":"Materials Today Physics","volume":"55 ","pages":"Article 101760"},"PeriodicalIF":10.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Today Physics","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542529325001166","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Spin memristors are devices that use electron spin to make memory technology scalable, high-performance, and energy-efficient. These devices offer significant advantages over traditional memristors, including faster switching, lower energy consumption, and enhanced durability. This review study summarizes current research and offers specific conclusions regarding the basic ideas, material compositions, and device designs of spin memristors. Additionally, significant advancements are discussed, including a tenfold increase, improved switching efficiency, millisecond-scale operation, and extended lifespan. The review study outlines the evolution of memristor technology and its role in neuromorphic computing, focusing on fundamental mechanisms such as magnetoresistance, spin transfer torque, and voltage-controlled magnetic anisotropy. The latest advancements in spin-orbit torque (SOT) devices, hybrid constructions using two-dimensional (2D) materials, and magnetic tunnel junctions (MTJs) are also discussed. Moreover, potential applications in neuromorphic computing, quantum information processing, and advanced computing paradigms are also explored in the study. To help researchers fill important gaps in material optimization, scalability, and integration with conventional electronics, this work offers practical insights. By bridging the gap between traditional memristors and spintronics, this review will serve the purpose of contributing to the advancement and commercialization of spin memristors in next-generation computing systems.
回顾电子学革命的脚步:自旋忆阻器
自旋记忆电阻器是一种利用电子自旋使存储器技术可扩展、高性能和节能的器件。与传统的忆阻器相比,这些器件具有显著的优势,包括更快的开关、更低的能耗和更高的耐用性。本文综述了自旋记忆电阻器的基本思想、材料组成和器件设计等方面的研究现状,并给出了具体的结论。此外,还讨论了显著的进步,包括十倍的增长、改进的开关效率、毫秒级的操作和延长的使用寿命。本文概述了忆阻器技术的发展及其在神经形态计算中的作用,重点介绍了磁阻、自旋传递转矩和电压控制磁各向异性等基本机制。讨论了自旋轨道转矩(SOT)器件、二维材料混合结构和磁隧道结(MTJs)的最新进展。此外,研究还探讨了在神经形态计算、量子信息处理和先进计算范式方面的潜在应用。为了帮助研究人员填补材料优化、可扩展性和与传统电子产品集成方面的重要空白,这项工作提供了实际的见解。通过弥补传统记忆电阻器与自旋电子学之间的差距,本综述将有助于自旋记忆电阻器在下一代计算系统中的进步和商业化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Materials Today Physics
Materials Today Physics Materials Science-General Materials Science
CiteScore
14.00
自引率
7.80%
发文量
284
审稿时长
15 days
期刊介绍: Materials Today Physics is a multi-disciplinary journal focused on the physics of materials, encompassing both the physical properties and materials synthesis. Operating at the interface of physics and materials science, this journal covers one of the largest and most dynamic fields within physical science. The forefront research in materials physics is driving advancements in new materials, uncovering new physics, and fostering novel applications at an unprecedented pace.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信