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Cited by 202

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Photoemission Spectroscopy of Magnetic and Nonmagnetic Impurities on the Surface of theBi2Se3Topological Insulator

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Valla, T., Pan, Z.-H., Gardner, D., Lee, Y. S., Chu, S.·2012·Physical Review Letters

Abstract

Dirac-like surface states on surfaces of topological insulators have a chiral spin structure that suppresses backscattering and protects the coherence of these states in the presence of nonmagnetic scatterers. In contrast, magnetic scatterers should open the backscattering channel via the spin-flip processes and degrade the state's coherence. We present angle-resolved photoemission spectroscopy studies of the electronic structure and the scattering rates upon the adsorption of various magnetic and nonmagnetic impurities on the surface of Bi2Se3, a model topological insulator. We reveal a remarkable insensitivity of the topological surface state to both nonmagnetic and magnetic impurities in the low impurity concentration regime. Scattering channels open up with the emergence of hexagonal warping in the high-doping regime, irrespective of the impurity's magnetic moment.

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Metadata

Authors
Valla, T., Pan, Z.-H., Gardner, D., Lee, Y. S., & Chu, S.
Venue
Physical Review Letters
Published
2012-03-12
Volume
108
Issue
11
Pages
117601-117601
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2021787800
Cited by
202
References
11
FWCI
15.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Photoemission Spectroscopy of Magnetic and Nonmagnetic Impurities on the Surface of theBi2Se3Topological Insulator. https://app.cochat.ai/papers/10.1103/physrevlett.108.117601
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Valla, T., Pan, Z.-H., Gardner, D., Lee, Y. S., & Chu, S. (2012). Photoemission Spectroscopy of Magnetic and Nonmagnetic Impurities on the Surface of theBi2Se3Topological Insulator. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.117601

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.