Journal article Rapid infrared imaging of rhombohedral graphene
Zuo Feng (author) (Search by this author)
;
Wenxuan Wang (author) (Search by this author)
;
Yilong You (author) (Search by this author)
;
Yifei Chen (author) (Search by this author)
;
Kenji Watanabe (author) (Search by this author)
ORCID SAMURAI ;
Takashi Taniguchi (author) (Search by this author)
ORCID SAMURAI ;
Chang Liu (author) (Search by this author)
;
Kaihui Liu (author) (Search by this author)
;
Xiaobo Lu (author) (Search by this author)
Collection

Citation
Zuo Feng, Wenxuan Wang, Yilong You, Yifei Chen, Kenji Watanabe, Takashi Taniguchi, Chang Liu, Kaihui Liu, Xiaobo Lu. Rapid infrared imaging of rhombohedral graphene. Physical Review Applied. 2025, 23 (3), 034012. https://doi.org/10.1103/PhysRevApplied.23.034012

Description:

(abstract)

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.

Rights:

Keyword: Rhombohedral (ABC) stacked graphene, Infrared imaging, Stacking sequence recognition

Date published: 2025-03-06

Publisher: American Physical Society (APS)

Journal:

  • Physical Review Applied (ISSN: 23317019) vol. 23 issue. 3 034012

Funding:

  • National Key R&D Program 2022YFA1403500/02
  • National Natural Science Foundation of China 12141401
  • National Natural Science Foundation of China 52025023
  • National Natural Science Foundation of China 11888101
  • National Natural Science Foundation of China T2188101

Manuscript type: Author's version (Accepted manuscript)

MDR DOI:

First published URL: https://doi.org/10.1103/PhysRevApplied.23.034012

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Updated at: 2026-07-06 10:50:10 +0900

Published on MDR: 2026-07-06 12:30:05 +0900

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