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Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact

Nonvolatile phase‐change random access memory (PCRAM) is regarded as one of the promising candidates for emerging mass storage in the era of Big Data. However, relatively high programming energy hurdles the further reduction of power consumption in PCRAM. Utilizing narrow edge‐contact of graphene ca...

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Detalles Bibliográficos
Autores principales: Wang, Xiujun, Song, Sannian, Wang, Haomin, Guo, Tianqi, Xue, Yuan, Wang, Ruobing, Wang, HuiShan, Chen, Lingxiu, Jiang, Chengxin, Chen, Chen, Shi, Zhiyuan, Wu, Tianru, Song, Wenxiong, Zhang, Sifan, Watanabe, Kenji, Taniguchi, Takashi, Song, Zhitang, Xie, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443440/
https://www.ncbi.nlm.nih.gov/pubmed/36062987
http://dx.doi.org/10.1002/advs.202202222
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author Wang, Xiujun
Song, Sannian
Wang, Haomin
Guo, Tianqi
Xue, Yuan
Wang, Ruobing
Wang, HuiShan
Chen, Lingxiu
Jiang, Chengxin
Chen, Chen
Shi, Zhiyuan
Wu, Tianru
Song, Wenxiong
Zhang, Sifan
Watanabe, Kenji
Taniguchi, Takashi
Song, Zhitang
Xie, Xiaoming
author_facet Wang, Xiujun
Song, Sannian
Wang, Haomin
Guo, Tianqi
Xue, Yuan
Wang, Ruobing
Wang, HuiShan
Chen, Lingxiu
Jiang, Chengxin
Chen, Chen
Shi, Zhiyuan
Wu, Tianru
Song, Wenxiong
Zhang, Sifan
Watanabe, Kenji
Taniguchi, Takashi
Song, Zhitang
Xie, Xiaoming
author_sort Wang, Xiujun
collection PubMed
description Nonvolatile phase‐change random access memory (PCRAM) is regarded as one of the promising candidates for emerging mass storage in the era of Big Data. However, relatively high programming energy hurdles the further reduction of power consumption in PCRAM. Utilizing narrow edge‐contact of graphene can effectively reduce the active volume of phase change material in each cell, and therefore realize low‐power operation. Here, it demonstrates that the power consumption can be reduced to ≈53.7 fJ in a cell with ≈3 nm‐wide graphene nanoribbon (GNR) as edge‐contact, whose cross‐sectional area is only ≈1 nm(2). It is found that the polarity of the bias pulse determines its cycle endurance in the asymmetric structure. If a positive bias is applied to the graphene electrode, the endurance can be extended at least one order longer than the case with a reversal of polarity. In addition, the introduction of the hexagonal boron nitride (h‐BN) multilayer leads to a low resistance drift and a high programming speed in a memory cell. The work represents a great technological advance for the low‐power PCRAM and can benefit in‐memory computing in the future.
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spelling pubmed-94434402022-09-09 Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact Wang, Xiujun Song, Sannian Wang, Haomin Guo, Tianqi Xue, Yuan Wang, Ruobing Wang, HuiShan Chen, Lingxiu Jiang, Chengxin Chen, Chen Shi, Zhiyuan Wu, Tianru Song, Wenxiong Zhang, Sifan Watanabe, Kenji Taniguchi, Takashi Song, Zhitang Xie, Xiaoming Adv Sci (Weinh) Research Articles Nonvolatile phase‐change random access memory (PCRAM) is regarded as one of the promising candidates for emerging mass storage in the era of Big Data. However, relatively high programming energy hurdles the further reduction of power consumption in PCRAM. Utilizing narrow edge‐contact of graphene can effectively reduce the active volume of phase change material in each cell, and therefore realize low‐power operation. Here, it demonstrates that the power consumption can be reduced to ≈53.7 fJ in a cell with ≈3 nm‐wide graphene nanoribbon (GNR) as edge‐contact, whose cross‐sectional area is only ≈1 nm(2). It is found that the polarity of the bias pulse determines its cycle endurance in the asymmetric structure. If a positive bias is applied to the graphene electrode, the endurance can be extended at least one order longer than the case with a reversal of polarity. In addition, the introduction of the hexagonal boron nitride (h‐BN) multilayer leads to a low resistance drift and a high programming speed in a memory cell. The work represents a great technological advance for the low‐power PCRAM and can benefit in‐memory computing in the future. John Wiley and Sons Inc. 2022-07-18 /pmc/articles/PMC9443440/ /pubmed/36062987 http://dx.doi.org/10.1002/advs.202202222 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Wang, Xiujun
Song, Sannian
Wang, Haomin
Guo, Tianqi
Xue, Yuan
Wang, Ruobing
Wang, HuiShan
Chen, Lingxiu
Jiang, Chengxin
Chen, Chen
Shi, Zhiyuan
Wu, Tianru
Song, Wenxiong
Zhang, Sifan
Watanabe, Kenji
Taniguchi, Takashi
Song, Zhitang
Xie, Xiaoming
Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact
title Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact
title_full Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact
title_fullStr Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact
title_full_unstemmed Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact
title_short Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact
title_sort minimizing the programming power of phase change memory by using graphene nanoribbon edge‐contact
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443440/
https://www.ncbi.nlm.nih.gov/pubmed/36062987
http://dx.doi.org/10.1002/advs.202202222
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