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

https://mdr.nims.go.jp/datasets/b29c1cb9-f0c2-4ec7-9767-77f18ebdc04b

## File

- [Advanced Science - 2022 - Wang - Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon.pdf](https://mdr.nims.go.jp/filesets/8af04e8b-7b8c-4b08-a0b9-427970bc825b/download) ([Detail](https://mdr.nims.go.jp/filesets/8af04e8b-7b8c-4b08-a0b9-427970bc825b.md))

## Id

b29c1cb9-f0c2-4ec7-9767-77f18ebdc04b

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-02-25T04:39:00.026606Z

## Updated at

2025-03-03T07:30:40.202037Z

## Published at

2025-03-03T07:30:40.303637Z

## Doi



## First published url

https://doi.org/10.1002/advs.202202222

## Date published

2022-07-18

## Recorded date published

2022-9

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Minimizing the Programming Power of Phase Change Memory by Using Graphene
    Nanoribbon Edge‐Contact
  title_type: original
  lang: en

## Description

- description: '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 '
  description_type: abstract
  lang: und

## Creator

- name: Xiujun Wang
  role: author
- name: Sannian Song
  role: author
- name: Haomin Wang
  role: author
- name: Tianqi Guo
  role: author
- name: Yuan Xue
  role: author
- name: Ruobing Wang
  role: author
- name: HuiShan Wang
  role: author
- name: Lingxiu Chen
  role: author
- name: Chengxin Jiang
  role: author
- name: Chen Chen
  role: author
- name: Zhiyuan Shi
  role: author
- name: Tianru Wu
  role: author
- name: Wenxiong Song
  role: author
- name: Sifan Zhang
  role: author
- name: Kenji Watanabe
  role: author
  orcid: https://orcid.org/0000-0003-3701-8119
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Takashi Taniguchi
  role: author
  orcid: https://orcid.org/0000-0002-1467-3105
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Zhitang Song
  role: author
- name: Xiaoming Xie
  role: author

## Contact agent



## Publisher

organization: Wiley

## Managing organization



## Keyword

- subject: Phase-change memory
  schema: not_defined
- subject: " graphene nanoribbon"
  schema: not_defined
- subject: low-power device
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Advanced Science
  issn: '21983844'
  volume: '9'
  issue: '25'
  article_number: '2202222'

## Conference



## Related item



## Funding

- identifier: '91964102'
  funder_name: National Natural Science Foundation of China
- identifier: '91964204'
  funder_name: National Natural Science Foundation of China
- identifier: '51772317'
  funder_name: National Natural Science Foundation of China
- identifier: '18511110700'
  funder_name: Science and Technology Commission of Shanghai Municipality
- identifier: 20DZ2203600
  funder_name: Science and Technology Commission of Shanghai Municipality
- identifier: 2017M621563
  funder_name: China Postdoctoral Science Foundation
- identifier: 2018T110415
  funder_name: China Postdoctoral Science Foundation
- identifier: 2019T120366
  funder_name: China Postdoctoral Science Foundation
- identifier: 2019M651620
  funder_name: China Postdoctoral Science Foundation
- identifier: BX2021331
  funder_name: China Postdoctoral Science Foundation
- identifier: 2021M703338
  funder_name: China Postdoctoral Science Foundation
- identifier: '12004406'
  funder_name: National Natural Science Foundation of China
- identifier: '61874129'
  funder_name: National Natural Science Foundation of China

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 8af04e8b-7b8c-4b08-a0b9-427970bc825b
  filename: Advanced Science - 2022 - Wang - Minimizing the Programming Power of Phase
    Change Memory by Using Graphene Nanoribbon.pdf
  content_type: application/pdf
  size: 1593286
  md5: 5c19eb4e6fc70c79d3ce9e83261892eb

## Thumbnail

fileset_id: 8af04e8b-7b8c-4b08-a0b9-427970bc825b
filename: Advanced Science - 2022 - Wang - Minimizing the Programming Power of Phase
  Change Memory by Using Graphene Nanoribbon.pdf