| CONDENSED MATTER: ELECTRONIC STRUCTURE, ELECTRICAL, MAGNETIC, AND OPTICAL PROPERTIES |
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Topological-Defect-Induced Superstructures on Graphite Surface |
| Zi-Lin Ruan , Zhen-Liang Hao , Hui Zhang , Shi-Jie Sun , Yong Zhang , Wei Xiong , Xing-Yue Wang , Jian-Chen Lu*, and Jin-Ming Cai |
| Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming 650000, China |
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| Cite this article: |
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Zi-Lin Ruan , Zhen-Liang Hao , Hui Zhang et al 2021 Chin. Phys. Lett. 38 027201 |
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Abstract Topological defects in graphene induce structural and electronic modulations. Knowing exact nature of broken-symmetry states around the individual atomic defects of graphene is very important for understanding the electronic properties of this material. We investigate structural dependence on localized electronic states in the vicinity of topological defects on a highly oriented pyrolytic graphite (HOPG) surface, using scanning tunneling microscopy and spectroscopy. Several inherent topological defects on the HOPG surface and the local density of states surrounding them are explored, visualized as scattering wave-related ($\sqrt{3} \times \sqrt{3}$) R30$^{\circ}$ superstructures and honeycomb superstructures. In addition, the superstructures observed near the grain boundary have a much higher decay length at specific sites than that reported previously, indicating far greater electron scattering on the quasi-periodic grain boundary.
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Received: 27 August 2020
Published: 27 January 2021
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| PACS: |
72.10.Fk
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(Scattering by point defects, dislocations, surfaces, and other imperfections (including Kondo effect))
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73.20.-r
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(Electron states at surfaces and interfaces)
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73.22.Pr
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(Electronic structure of graphene)
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| Fund: Supported by the National Natural Science Foundation of China (Grant Nos. 11674136 and 61901200), Yunnan Province for Recruiting High-Caliber Technological Talents (Grant No. 1097816002), Reserve Talents for Yunnan Young and Middle Aged Academic and Technical Leaders (Grant No. 2017HB010), the Yunnan Province Science and Technology Plan Project (Grant No. 2019FD041), the China Postdoctoral Science Foundation, and the Yunnan Province Postdoctoral Science Foundation. |
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