Mixed etching-oxidation process to enhance the performance of spin-transfer torque MRAM for high-performance computing

磁阻随机存取存储器 旋转扭矩传递 扭矩 蚀刻(微加工) 过程(计算) 材料科学 光电子学 自旋(空气动力学) 计算机科学 纳米技术 随机存取存储器 物理 机械工程 磁化 工程类 计算机硬件 磁场 操作系统 图层(电子) 量子力学 热力学
作者
Kuan-Ming Chen,Chiao-Yun Lo,Shih-Ching Chiu,Yi-Hui Su,Yao-Jen Chang,Guanlong Chen,Hsin‐Han Lee,Xin-Yo Huang,Cheng-Yi Shih,Chih-Yao Wang,I-Jung Wang,Shan-Yi Yang,Yu-Chen Hsin,Jeng-Hua Wei,Shyh-Shyuan Sheu,Wei‐Chung Lo,Shih-Chieh Chang,Yuan‐Chieh Tseng
出处
期刊:Applied Physics Letters [American Institute of Physics]
卷期号:125 (1)
标识
DOI:10.1063/5.0217921
摘要

Spin-transfer torque magnetic random access memory (MRAM) devices have considerable potential for high-performance computing applications; however, progress in this field has been hindered by difficulties in etching the magnetic tunnel junction (MTJ). One notable issue is electrical shorting caused by the accumulation of etching by-products on MTJ surfaces. Attempts to resolve these issues led to the development of step-MTJs, in which etching does not proceed beyond the MgO barrier; however, the resulting devices suffer from poor scalability and unpredictable shunting paths due to asymmetric electrode structures. This paper outlines the fabrication of pillar-shaped MTJs via a four-step etching process involving reactive-ion etching, ion-beam etching, oxygen exposure, and ion-trimming. The respective steps can be cross-tuned to optimize the shape of the pillars, prevent sidewall redeposition, and remove undesired shunting paths in order to enhance MTJ performance. In experiments, the proposed pillar-MTJs outperformed step-MTJs in key metrics, including tunneling magnetoresistance, coercivity, and switching efficiency. The proposed pillar-MTJs also enable the fabrication of MRAM cells with smaller cell sizes than spin–orbit torque devices and require no external field differing from voltage-controlled magnetic anisotropy devices.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
HH完成签到,获得积分10
1秒前
CipherSage应助渢薃采纳,获得10
1秒前
Tang666完成签到,获得积分10
1秒前
琥珀关注了科研通微信公众号
1秒前
幸运发布了新的文献求助20
2秒前
传奇3应助迅速雨琴采纳,获得10
2秒前
4秒前
lay发布了新的文献求助10
4秒前
6秒前
胖胖发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
8秒前
wanci应助iShine采纳,获得10
8秒前
PaiBIGStar发布了新的文献求助30
9秒前
做好人难完成签到,获得积分10
9秒前
frankie发布了新的文献求助10
10秒前
百甲完成签到,获得积分10
10秒前
果断的荸荠在登山完成签到,获得积分10
10秒前
linmengdie发布了新的文献求助10
10秒前
10秒前
程文轩完成签到,获得积分20
11秒前
1376完成签到 ,获得积分10
11秒前
11秒前
pp发布了新的文献求助10
12秒前
12秒前
科研通AI6.4应助竹筏过海采纳,获得100
13秒前
张半仙发布了新的文献求助10
14秒前
幸运小张完成签到,获得积分10
14秒前
eye发布了新的文献求助10
15秒前
英姑应助迷人无剑采纳,获得10
15秒前
科研通AI2S应助冰糖葫芦娃采纳,获得30
15秒前
Jane完成签到,获得积分10
15秒前
15秒前
v0id应助无辜的初晴采纳,获得40
16秒前
李健应助科研通管家采纳,获得10
16秒前
16秒前
molihuakai应助科研通管家采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629705
求助须知:如何正确求助?哪些是违规求助? 9204069
关于积分的说明 19736982
捐赠科研通 7199182
什么是DOI,文献DOI怎么找? 3274314
关于科研通互助平台的介绍 2436445
邀请新用户注册赠送积分活动 2270480