Xiujun Wang
;
Sannian Song
;
Haomin Wang
;
Tianqi Guo
;
Yuan Xue
;
Ruobing Wang
;
HuiShan Wang
;
Lingxiu Chen
;
Chengxin Jiang
;
Chen Chen
;
Zhiyuan Shi
;
Tianru Wu
;
Wenxiong Song
;
Sifan Zhang
;
Kenji Watanabe
(National Institute for Materials Science
)
;
Takashi Taniguchi
(National Institute for Materials Science
)
;
Zhitang Song
;
Xiaoming Xie
Description:
(abstract)Nonvolatile phase change random access memory (PCRAM) is regarded as one of 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, we demonstrate that a write energy can be reduced to about ~53.7 fJ in a cell with ~3 nm-wide graphene nanoribbon (GNR) as edge-contact, whose cross-sectional area is only ~1 nm2. It is found that the cycle endurance exhibits an obvious dependence on the bias polarity in the cell with structure asymmetry. If a positive bias was applied to graphene electrode, the endurance can be extended at least one order longer than the case with reversal of polarity. The work represents a great technological advance for the low power PCRAM and could benefit for in-memory computing in future
Rights:
Keyword: Phase-change memory, graphene nanoribbon, low-power device
Date published: 2022-07-18
Publisher: Wiley
Journal:
Funding:
Manuscript type: Publisher's version (Version of record)
MDR DOI:
First published URL: https://doi.org/10.1002/advs.202202222
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Updated at: 2025-03-03 16:30:40 +0900
Published on MDR: 2025-03-03 16:30:40 +0900
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Advanced Science - 2022 - Wang - Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon.pdf
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