Rapid infrared imaging of rhombohedral graphene

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.

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Publication Details

Journal
Physical Review Applied
Published
2025-03-06
DOI
https://doi.org/10.1103/physrevapplied.23.034012
Citations
3
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
1.55

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article

Rapid infrared imaging of rhombohedral graphene

Takashi Taniguchi, Kaihui Liu, Kenji Watanabe, Xiaobo Lu et al.
3 citations
Physical Review Applied
Graphene research and applications
1.55
article

Rapid infrared imaging of rhombohedral graphene

Takashi Taniguchi, Kaihui Liu, Kenji Watanabe, Xiaobo Lu, Chang Liu, Yilong You, Yifei Chen, Feng Zuo, Wenxuan Wang
article en
3 citations

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.

Physical Review AppliedVol. 23(3)
Peking University (CN), Collaborative Innovation Center of Quantum Matter (CN), Material Sciences (United States) (US), Beijing International Studies University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 19%
Graphene research and applications
1.55
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