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Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics
A retention behavior model for self-rectifying TaO/HfO(x)- and TaO/AlO(x)-based resistive random-access memory (RRAM) is proposed. Trapping-type RRAM can have a high resistance state (HRS) and a low resistance state (LRS); the degradation in a LRS is usually more severe than that in a HRS, because t...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469721/ https://www.ncbi.nlm.nih.gov/pubmed/28618715 http://dx.doi.org/10.1186/s11671-017-2179-5 |
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author | Lin, Yu-De Chen, Pang-Shiu Lee, Heng-Yuan Chen, Yu-Sheng Rahaman, Sk. Ziaur Tsai, Kan-Hsueh Hsu, Chien-Hua Chen, Wei-Su Wang, Pei-Hua King, Ya-Chin Lin, Chrong Jung |
author_facet | Lin, Yu-De Chen, Pang-Shiu Lee, Heng-Yuan Chen, Yu-Sheng Rahaman, Sk. Ziaur Tsai, Kan-Hsueh Hsu, Chien-Hua Chen, Wei-Su Wang, Pei-Hua King, Ya-Chin Lin, Chrong Jung |
author_sort | Lin, Yu-De |
collection | PubMed |
description | A retention behavior model for self-rectifying TaO/HfO(x)- and TaO/AlO(x)-based resistive random-access memory (RRAM) is proposed. Trapping-type RRAM can have a high resistance state (HRS) and a low resistance state (LRS); the degradation in a LRS is usually more severe than that in a HRS, because the LRS during the SET process is limited by the internal resistor layer. However, if TaO/AlO(x) elements are stacked in layers, the LRS retention can be improved. The LRS retention time estimated by extrapolation method is more than 5 years at room temperature. Both TaO/HfO(x)- and TaO/AlO(x)-based RRAM structures have the same capping layer of TaO, and the activation energy levels of both types of structures are 0.38 eV. Moreover, the additional AlO(x) switching layer of a TaO/AlO(x) structure creates a higher O diffusion barrier that can substantially enhance retention, and the TaO/AlO(x) structure also shows a quite stable LRS under biased conditions. |
format | Online Article Text |
id | pubmed-5469721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-54697212017-06-26 Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics Lin, Yu-De Chen, Pang-Shiu Lee, Heng-Yuan Chen, Yu-Sheng Rahaman, Sk. Ziaur Tsai, Kan-Hsueh Hsu, Chien-Hua Chen, Wei-Su Wang, Pei-Hua King, Ya-Chin Lin, Chrong Jung Nanoscale Res Lett Nano Express A retention behavior model for self-rectifying TaO/HfO(x)- and TaO/AlO(x)-based resistive random-access memory (RRAM) is proposed. Trapping-type RRAM can have a high resistance state (HRS) and a low resistance state (LRS); the degradation in a LRS is usually more severe than that in a HRS, because the LRS during the SET process is limited by the internal resistor layer. However, if TaO/AlO(x) elements are stacked in layers, the LRS retention can be improved. The LRS retention time estimated by extrapolation method is more than 5 years at room temperature. Both TaO/HfO(x)- and TaO/AlO(x)-based RRAM structures have the same capping layer of TaO, and the activation energy levels of both types of structures are 0.38 eV. Moreover, the additional AlO(x) switching layer of a TaO/AlO(x) structure creates a higher O diffusion barrier that can substantially enhance retention, and the TaO/AlO(x) structure also shows a quite stable LRS under biased conditions. Springer US 2017-06-13 /pmc/articles/PMC5469721/ /pubmed/28618715 http://dx.doi.org/10.1186/s11671-017-2179-5 Text en © The Author(s). 2017 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 Express Lin, Yu-De Chen, Pang-Shiu Lee, Heng-Yuan Chen, Yu-Sheng Rahaman, Sk. Ziaur Tsai, Kan-Hsueh Hsu, Chien-Hua Chen, Wei-Su Wang, Pei-Hua King, Ya-Chin Lin, Chrong Jung Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics |
title | Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics |
title_full | Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics |
title_fullStr | Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics |
title_full_unstemmed | Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics |
title_short | Retention Model of TaO/HfO(x) and TaO/AlO(x) RRAM with Self-Rectifying Switch Characteristics |
title_sort | retention model of tao/hfo(x) and tao/alo(x) rram with self-rectifying switch characteristics |
topic | Nano Express |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469721/ https://www.ncbi.nlm.nih.gov/pubmed/28618715 http://dx.doi.org/10.1186/s11671-017-2179-5 |
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