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A Collective Study on Modeling and Simulation of Resistive Random Access Memory
In this work, we provide a comprehensive discussion on the various models proposed for the design and description of resistive random access memory (RRAM), being a nascent technology is heavily reliant on accurate models to develop efficient working designs and standardize its implementation across...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762646/ https://www.ncbi.nlm.nih.gov/pubmed/29322363 http://dx.doi.org/10.1186/s11671-017-2419-8 |
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author | Panda, Debashis Sahu, Paritosh Piyush Tseng, Tseung Yuen |
author_facet | Panda, Debashis Sahu, Paritosh Piyush Tseng, Tseung Yuen |
author_sort | Panda, Debashis |
collection | PubMed |
description | In this work, we provide a comprehensive discussion on the various models proposed for the design and description of resistive random access memory (RRAM), being a nascent technology is heavily reliant on accurate models to develop efficient working designs and standardize its implementation across devices. This review provides detailed information regarding the various physical methodologies considered for developing models for RRAM devices. It covers all the important models reported till now and elucidates their features and limitations. Various additional effects and anomalies arising from memristive system have been addressed, and the solutions provided by the models to these problems have been shown as well. All the fundamental concepts of RRAM model development such as device operation, switching dynamics, and current-voltage relationships are covered in detail in this work. Popular models proposed by Chua, HP Labs, Yakopcic, TEAM, Stanford/ASU, Ielmini, Berco-Tseng, and many others have been compared and analyzed extensively on various parameters. The working and implementations of the window functions like Joglekar, Biolek, Prodromakis, etc. has been presented and compared as well. New well-defined modeling concepts have been discussed which increase the applicability and accuracy of the models. The use of these concepts brings forth several improvements in the existing models, which have been enumerated in this work. Following the template presented, highly accurate models would be developed which will vastly help future model developers and the modeling community. |
format | Online Article Text |
id | pubmed-5762646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-57626462018-01-25 A Collective Study on Modeling and Simulation of Resistive Random Access Memory Panda, Debashis Sahu, Paritosh Piyush Tseng, Tseung Yuen Nanoscale Res Lett Nano Review In this work, we provide a comprehensive discussion on the various models proposed for the design and description of resistive random access memory (RRAM), being a nascent technology is heavily reliant on accurate models to develop efficient working designs and standardize its implementation across devices. This review provides detailed information regarding the various physical methodologies considered for developing models for RRAM devices. It covers all the important models reported till now and elucidates their features and limitations. Various additional effects and anomalies arising from memristive system have been addressed, and the solutions provided by the models to these problems have been shown as well. All the fundamental concepts of RRAM model development such as device operation, switching dynamics, and current-voltage relationships are covered in detail in this work. Popular models proposed by Chua, HP Labs, Yakopcic, TEAM, Stanford/ASU, Ielmini, Berco-Tseng, and many others have been compared and analyzed extensively on various parameters. The working and implementations of the window functions like Joglekar, Biolek, Prodromakis, etc. has been presented and compared as well. New well-defined modeling concepts have been discussed which increase the applicability and accuracy of the models. The use of these concepts brings forth several improvements in the existing models, which have been enumerated in this work. Following the template presented, highly accurate models would be developed which will vastly help future model developers and the modeling community. Springer US 2018-01-10 /pmc/articles/PMC5762646/ /pubmed/29322363 http://dx.doi.org/10.1186/s11671-017-2419-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Nano Review Panda, Debashis Sahu, Paritosh Piyush Tseng, Tseung Yuen A Collective Study on Modeling and Simulation of Resistive Random Access Memory |
title | A Collective Study on Modeling and Simulation of Resistive Random Access Memory |
title_full | A Collective Study on Modeling and Simulation of Resistive Random Access Memory |
title_fullStr | A Collective Study on Modeling and Simulation of Resistive Random Access Memory |
title_full_unstemmed | A Collective Study on Modeling and Simulation of Resistive Random Access Memory |
title_short | A Collective Study on Modeling and Simulation of Resistive Random Access Memory |
title_sort | collective study on modeling and simulation of resistive random access memory |
topic | Nano Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762646/ https://www.ncbi.nlm.nih.gov/pubmed/29322363 http://dx.doi.org/10.1186/s11671-017-2419-8 |
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