Reliability Improvement and Effective Switching Layer Model of Thin‐Film MoS2 Memristors

Author:

Huang Yifu1ORCID,Gu Yuqian1ORCID,Mohan Sivasakthya12ORCID,Dolocan Andrei2ORCID,Ignacio Nicholas D.12,Kutagulla Shanmukh1ORCID,Matthews Kevin2,Londoño‐Calderon Alejandra3ORCID,Chang Yao‐Feng4ORCID,Chen Ying‐Chen5ORCID,Warner Jamie H.26,Pettes Michael T.3ORCID,Lee Jack C.1,Akinwande Deji12ORCID

Affiliation:

1. Microelectronics Research Center The University of Texas at Austin Austin TX 78758 USA

2. Material Science and Engineering Graduate Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA

3. Center for Integrated Nanotechnologies Materials Physics and Applications Division Los Alamos National Laboratory Los Alamos NM 87545 USA

4. Intel Corporation Hillsboro Oregon 97124 USA

5. Department of Electrical and Computer Engineering Northern Arizona University Flagstaff Arizona 86011 USA

6. Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 USA

Abstract

Abstract2D memristors have demonstrated attractive resistive switching characteristics recently but also suffer from the reliability issue, which limits practical applications. Previous efforts on 2D memristors have primarily focused on exploring new material systems, while damage from the metallization step remains a practical concern for the reliability of 2D memristors. Here, the impact of metallization conditions and the thickness of MoS2 films on the reliability and other device metrics of MoS2‐based memristors is carefully studied. The statistical electrical measurements show that the reliability can be improved to 92% for yield and improved by ≈16× for average DC cycling endurance in the devices by reducing the top electrode (TE) deposition rate and increasing the thickness of MoS2 films. Intriguing convergence of switching voltages and resistance ratio is revealed by the statistical analysis of experimental switching cycles. An “effective switching layer” model compatible with both monolayer and few‐layer MoS2, is proposed to understand the reliability improvement related to the optimization of fabrication configuration and the convergence of switching metrics. The Monte Carlo simulations help illustrate the underlying physics of endurance failure associated with cluster formation and provide additional insight into endurance improvement with device fabrication optimization.

Funder

National Science Foundation

U.S. Department of Energy

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

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