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Multibit memory operation of metal-oxide bi-layer memristors
Emerging nanoionic memristive devices are considered as the memory technology of the future and have been winning a great deal of attention due to their ability to perform fast and at the expense of low-power and -space requirements. Their full potential is envisioned that can be fulfilled through t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727485/ https://www.ncbi.nlm.nih.gov/pubmed/29235524 http://dx.doi.org/10.1038/s41598-017-17785-1 |
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author | Stathopoulos, Spyros Khiat, Ali Trapatseli, Maria Cortese, Simone Serb, Alexantrou Valov, Ilia Prodromakis, Themis |
author_facet | Stathopoulos, Spyros Khiat, Ali Trapatseli, Maria Cortese, Simone Serb, Alexantrou Valov, Ilia Prodromakis, Themis |
author_sort | Stathopoulos, Spyros |
collection | PubMed |
description | Emerging nanoionic memristive devices are considered as the memory technology of the future and have been winning a great deal of attention due to their ability to perform fast and at the expense of low-power and -space requirements. Their full potential is envisioned that can be fulfilled through their capacity to store multiple memory states per cell, which however has been constrained so far by issues affecting the long-term stability of independent states. Here, we introduce and evaluate a multitude of metal-oxide bi-layers and demonstrate the benefits from increased memory stability via multibit memory operation. We propose a programming methodology that allows for operating metal-oxide memristive devices as multibit memory elements with highly packed yet clearly discernible memory states. These states were found to correlate with the transport properties of the introduced barrier layers. We are demonstrating memory cells with up to 6.5 bits of information storage as well as excellent retention and power consumption performance. This paves the way for neuromorphic and non-volatile memory applications. |
format | Online Article Text |
id | pubmed-5727485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57274852017-12-18 Multibit memory operation of metal-oxide bi-layer memristors Stathopoulos, Spyros Khiat, Ali Trapatseli, Maria Cortese, Simone Serb, Alexantrou Valov, Ilia Prodromakis, Themis Sci Rep Article Emerging nanoionic memristive devices are considered as the memory technology of the future and have been winning a great deal of attention due to their ability to perform fast and at the expense of low-power and -space requirements. Their full potential is envisioned that can be fulfilled through their capacity to store multiple memory states per cell, which however has been constrained so far by issues affecting the long-term stability of independent states. Here, we introduce and evaluate a multitude of metal-oxide bi-layers and demonstrate the benefits from increased memory stability via multibit memory operation. We propose a programming methodology that allows for operating metal-oxide memristive devices as multibit memory elements with highly packed yet clearly discernible memory states. These states were found to correlate with the transport properties of the introduced barrier layers. We are demonstrating memory cells with up to 6.5 bits of information storage as well as excellent retention and power consumption performance. This paves the way for neuromorphic and non-volatile memory applications. Nature Publishing Group UK 2017-12-13 /pmc/articles/PMC5727485/ /pubmed/29235524 http://dx.doi.org/10.1038/s41598-017-17785-1 Text en © The Author(s) 2017 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 | Article Stathopoulos, Spyros Khiat, Ali Trapatseli, Maria Cortese, Simone Serb, Alexantrou Valov, Ilia Prodromakis, Themis Multibit memory operation of metal-oxide bi-layer memristors |
title | Multibit memory operation of metal-oxide bi-layer memristors |
title_full | Multibit memory operation of metal-oxide bi-layer memristors |
title_fullStr | Multibit memory operation of metal-oxide bi-layer memristors |
title_full_unstemmed | Multibit memory operation of metal-oxide bi-layer memristors |
title_short | Multibit memory operation of metal-oxide bi-layer memristors |
title_sort | multibit memory operation of metal-oxide bi-layer memristors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727485/ https://www.ncbi.nlm.nih.gov/pubmed/29235524 http://dx.doi.org/10.1038/s41598-017-17785-1 |
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