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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
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.
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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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