Review of Electrochemically Synthesized Resistive Switching Devices: Memory Storage, Neuromorphic Computing, and Sensing Applications

Author:

Kundale Somnath S.1,Kamble Girish U.1,Patil Pradnya P.1,Patil Snehal L.1,Rokade Kasturi A.1,Khot Atul C.2ORCID,Nirmal Kiran A.2,Kamat Rajanish K.34,Kim Kyeong Heon5,An Ho-Myoung6,Dongale Tukaram D.12ORCID,Kim Tae Geun2ORCID

Affiliation:

1. Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology, Shivaji University, Kolhapur 416004, India

2. School of Electrical Engineering, Korea University, Anam-dong, Seoul 02841, Republic of Korea

3. Department of Electronics, Shivaji University, Kolhapur 416004, India

4. Department of Physics, Dr. Homi Bhabha State University, 15, Madam Cama Road, Mumbai 400032, India

5. Department of Convergence Electronic Engineering, Gyeongsang National University, Jinjudae-ro 501, Jinju 52828, Republic of Korea

6. Department of Electronics, Osan University, 45, Cheonghak-ro, Osan-si 18119, Republic of Korea

Abstract

Resistive-switching-based memory devices meet most of the requirements for use in next-generation information and communication technology applications, including standalone memory devices, neuromorphic hardware, and embedded sensing devices with on-chip storage, due to their low cost, excellent memory retention, compatibility with 3D integration, in-memory computing capabilities, and ease of fabrication. Electrochemical synthesis is the most widespread technique for the fabrication of state-of-the-art memory devices. The present review article summarizes the electrochemical approaches that have been proposed for the fabrication of switching, memristor, and memristive devices for memory storage, neuromorphic computing, and sensing applications, highlighting their various advantages and performance metrics. We also present the challenges and future research directions for this field in the concluding section.

Funder

National Research Foundation of Korea

Samsung Semiconductor Research Center in Korea University

Publisher

MDPI AG

Subject

General Materials Science,General Chemical Engineering

Reference221 articles.

1. Recent advances in memristive materials for artificial synapses;Kim;Adv. Electron. Mater.,2018

2. Scientific big data and digital earth;Guo;Chin. Sci. Bull.,2014

3. A Recommended Methods to Study Resistive Switching Devices;Lanza;Adv. Electron. Mater.,2019

4. Memristor-the missing circuit element;Chua;IEEE Trans. Circuit Theory,1971

5. The missing memristor found;Strukov;Nature,2008

Cited by 3 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