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Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing
Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their development in next-generation information storage and neuromorphic computing. Here, wafer-scale integration of solution-processed two-dimensional MoS(2) memristo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160094/ https://www.ncbi.nlm.nih.gov/pubmed/35650181 http://dx.doi.org/10.1038/s41467-022-30519-w |
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author | Tang, Baoshan Veluri, Hasita Li, Yida Yu, Zhi Gen Waqar, Moaz Leong, Jin Feng Sivan, Maheswari Zamburg, Evgeny Zhang, Yong-Wei Wang, John Thean, Aaron V-Y. |
author_facet | Tang, Baoshan Veluri, Hasita Li, Yida Yu, Zhi Gen Waqar, Moaz Leong, Jin Feng Sivan, Maheswari Zamburg, Evgeny Zhang, Yong-Wei Wang, John Thean, Aaron V-Y. |
author_sort | Tang, Baoshan |
collection | PubMed |
description | Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their development in next-generation information storage and neuromorphic computing. Here, wafer-scale integration of solution-processed two-dimensional MoS(2) memristor arrays are reported. The MoS(2) memristors achieve excellent endurance, long memory retention, low device variations, and high analog on/off ratio with linear conductance update characteristics. The two-dimensional nanosheets appear to enable a unique way to modulate switching characteristics through the inter-flake sulfur vacancies diffusion, which can be controlled by the flake size distribution. Furthermore, the MNIST handwritten digits recognition shows that the MoS(2) memristors can operate with a high accuracy of >98.02%, which demonstrates its feasibility for future analog memory applications. Finally, a monolithic three-dimensional memory cube has been demonstrated by stacking the two-dimensional MoS(2) layers, paving the way for the implementation of two memristor into high-density neuromorphic computing system. |
format | Online Article Text |
id | pubmed-9160094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91600942022-06-03 Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing Tang, Baoshan Veluri, Hasita Li, Yida Yu, Zhi Gen Waqar, Moaz Leong, Jin Feng Sivan, Maheswari Zamburg, Evgeny Zhang, Yong-Wei Wang, John Thean, Aaron V-Y. Nat Commun Article Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their development in next-generation information storage and neuromorphic computing. Here, wafer-scale integration of solution-processed two-dimensional MoS(2) memristor arrays are reported. The MoS(2) memristors achieve excellent endurance, long memory retention, low device variations, and high analog on/off ratio with linear conductance update characteristics. The two-dimensional nanosheets appear to enable a unique way to modulate switching characteristics through the inter-flake sulfur vacancies diffusion, which can be controlled by the flake size distribution. Furthermore, the MNIST handwritten digits recognition shows that the MoS(2) memristors can operate with a high accuracy of >98.02%, which demonstrates its feasibility for future analog memory applications. Finally, a monolithic three-dimensional memory cube has been demonstrated by stacking the two-dimensional MoS(2) layers, paving the way for the implementation of two memristor into high-density neuromorphic computing system. Nature Publishing Group UK 2022-06-01 /pmc/articles/PMC9160094/ /pubmed/35650181 http://dx.doi.org/10.1038/s41467-022-30519-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tang, Baoshan Veluri, Hasita Li, Yida Yu, Zhi Gen Waqar, Moaz Leong, Jin Feng Sivan, Maheswari Zamburg, Evgeny Zhang, Yong-Wei Wang, John Thean, Aaron V-Y. Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing |
title | Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing |
title_full | Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing |
title_fullStr | Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing |
title_full_unstemmed | Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing |
title_short | Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing |
title_sort | wafer-scale solution-processed 2d material analog resistive memory array for memory-based computing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160094/ https://www.ncbi.nlm.nih.gov/pubmed/35650181 http://dx.doi.org/10.1038/s41467-022-30519-w |
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