# Rapid infrared imaging of rhombohedral graphene

https://mdr.nims.go.jp/datasets/80f88f2b-0ed6-4630-a1e4-772a95a2fa1d

## File

- [2025A00434G_ABC_IR_RP applied.pdf](https://mdr.nims.go.jp/filesets/51b4e624-99fa-4ea7-88ea-1ac991a76e9b/download) ([Detail](https://mdr.nims.go.jp/filesets/51b4e624-99fa-4ea7-88ea-1ac991a76e9b.md))

## Id

80f88f2b-0ed6-4630-a1e4-772a95a2fa1d

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-07-02T02:30:34.935795Z

## Updated at

2026-07-06T01:50:10.033492Z

## Published at

2026-07-06T03:30:05.063828Z

## Doi



## First published url

https://doi.org/10.1103/PhysRevApplied.23.034012

## Date published

2025-03-06

## Recorded date published

2025-3

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Rapid infrared imaging of rhombohedral graphene
  title_type: original
  lang: en

## Description

- description: The extrinsic stacking sequence based on intrinsic crystal symmetry
    in multilayer two-dimensional materials plays a significant role in determining
    their electronic and optical properties. Compared with Bernal-stacked (ABA) multilayer
    graphene, rhombohedral (ABC) multilayer graphene hosts stronger electron-electron
    interaction due to its unique dispersion at low-energy excitations and has been
    utilized as a unique platform to explore strongly correlated physics. However,
    discerning the stacking sequence via scanning mapping methods has always been
    a fairly time-consuming process. Here, we report a rapid recognition method for
    ABC-stacked graphene with high accuracy by infrared imaging based on the distinct
    optical responses in the infrared range. The optical contrast of the image between
    ABC- and ABA-stacked graphene is strikingly clear, and the discernibility is comparable
    to traditional optical Raman microscopy but with higher consistency and throughput.
    We demonstrate that the infrared imaging technique can be integrated with dry
    transfer techniques commonly used in the literature. This rapid and convenient
    infrared imaging technique will significantly improve the sorting efficiency for
    differently stacked multilayer graphene, thereby accelerating the exploration
    of the novel emergent correlated phenomena in ABC-stacked graphene.
  description_type: abstract
  lang: en

## Creator

- name: Zuo Feng
  role: author
- name: Wenxuan Wang
  role: author
- name: Yilong You
  role: author
- name: Yifei Chen
  role: author
- name: Kenji Watanabe
  role: author
  orcid: https://orcid.org/0000-0003-3701-8119
  organization: National Institute for Materials Science
- name: Takashi Taniguchi
  role: author
  orcid: https://orcid.org/0000-0002-1467-3105
  organization: National Institute for Materials Science
- name: Chang Liu
  role: author
- name: Kaihui Liu
  role: author
- name: Xiaobo Lu
  role: author

## Contact agent



## Publisher

organization: American Physical Society (APS)

## Managing organization



## Keyword

- subject: Rhombohedral (ABC) stacked graphene
  schema: not_defined
- subject: Infrared imaging
  schema: not_defined
- subject: Stacking sequence recognition
  schema: not_defined

## Rights

- description: "© 2025 American Physical Society"
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Physical Review Applied
  issn: '23317019'
  volume: '23'
  issue: '3'
  article_number: '034012'

## Conference



## Related item



## Funding

- identifier: 2022YFA1403500/02
  funder_name: National Key R&D Program
- identifier: '12141401'
  funder_name: National Natural Science Foundation of China
- identifier: '52025023'
  funder_name: National Natural Science Foundation of China
- identifier: '11888101'
  funder_name: National Natural Science Foundation of China
- identifier: T2188101
  funder_name: National Natural Science Foundation of China

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## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



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## Fileset

- id: 51b4e624-99fa-4ea7-88ea-1ac991a76e9b
  filename: 2025A00434G_ABC_IR_RP applied.pdf
  content_type: application/pdf
  size: 2784427
  md5: 220c1d3324ea81e999f7d4403230a375

## Thumbnail

fileset_id: 51b4e624-99fa-4ea7-88ea-1ac991a76e9b
filename: 2025A00434G_ABC_IR_RP applied.pdf