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Understanding memristive switching via in situ characterization and device modeling

Owing to their attractive application potentials in both non-volatile memory and unconventional computing, memristive devices have drawn substantial research attention in the last decade. However, major roadblocks still remain in device performance, especially concerning relatively large parameter v...

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Detalles Bibliográficos
Autores principales: Sun, Wen, Gao, Bin, Chi, Miaofang, Xia, Qiangfei, Yang, J. Joshua, Qian, He, Wu, Huaqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6672015/
https://www.ncbi.nlm.nih.gov/pubmed/31371705
http://dx.doi.org/10.1038/s41467-019-11411-6
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author Sun, Wen
Gao, Bin
Chi, Miaofang
Xia, Qiangfei
Yang, J. Joshua
Qian, He
Wu, Huaqiang
author_facet Sun, Wen
Gao, Bin
Chi, Miaofang
Xia, Qiangfei
Yang, J. Joshua
Qian, He
Wu, Huaqiang
author_sort Sun, Wen
collection PubMed
description Owing to their attractive application potentials in both non-volatile memory and unconventional computing, memristive devices have drawn substantial research attention in the last decade. However, major roadblocks still remain in device performance, especially concerning relatively large parameter variability and limited cycling endurance. The response of the active region in the device within and between switching cycles plays the dominating role, yet the microscopic details remain elusive. This Review summarizes recent progress in scientific understanding of the physical origins of the non-idealities and propose a synergistic approach based on in situ characterization and device modeling to investigate switching mechanism. At last, the Review offers an outlook for commercialization viability of memristive technology.
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spelling pubmed-66720152019-08-02 Understanding memristive switching via in situ characterization and device modeling Sun, Wen Gao, Bin Chi, Miaofang Xia, Qiangfei Yang, J. Joshua Qian, He Wu, Huaqiang Nat Commun Review Article Owing to their attractive application potentials in both non-volatile memory and unconventional computing, memristive devices have drawn substantial research attention in the last decade. However, major roadblocks still remain in device performance, especially concerning relatively large parameter variability and limited cycling endurance. The response of the active region in the device within and between switching cycles plays the dominating role, yet the microscopic details remain elusive. This Review summarizes recent progress in scientific understanding of the physical origins of the non-idealities and propose a synergistic approach based on in situ characterization and device modeling to investigate switching mechanism. At last, the Review offers an outlook for commercialization viability of memristive technology. Nature Publishing Group UK 2019-08-01 /pmc/articles/PMC6672015/ /pubmed/31371705 http://dx.doi.org/10.1038/s41467-019-11411-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review Article
Sun, Wen
Gao, Bin
Chi, Miaofang
Xia, Qiangfei
Yang, J. Joshua
Qian, He
Wu, Huaqiang
Understanding memristive switching via in situ characterization and device modeling
title Understanding memristive switching via in situ characterization and device modeling
title_full Understanding memristive switching via in situ characterization and device modeling
title_fullStr Understanding memristive switching via in situ characterization and device modeling
title_full_unstemmed Understanding memristive switching via in situ characterization and device modeling
title_short Understanding memristive switching via in situ characterization and device modeling
title_sort understanding memristive switching via in situ characterization and device modeling
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6672015/
https://www.ncbi.nlm.nih.gov/pubmed/31371705
http://dx.doi.org/10.1038/s41467-019-11411-6
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