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Cited by 280

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Metal to Insulator Transition in Epitaxial Graphene Induced by Molecular Doping

Open access
Zhou, S. Y., Siegel, D. A., Fedorov, A. V., Lanzara, A.·2008·Physical Review Letters

Abstract

The capability to control the type and amount of charge carriers in a material and, in the extreme case, the transition from metal to insulator, is one of the key challenges of modern electronics. By employing angle-resolved photoemission spectroscopy we find that a reversible metal to insulator transition and a fine-tuning of the charge carriers from electrons to holes can be achieved in epitaxial bilayer and single layer graphene by molecular doping. The effects of electron screening and disorder are also discussed. These results demonstrate that epitaxial graphene is suitable for electronics applications, as well as provide new opportunities for studying the hole doping regime of the Dirac cone in graphene.

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Crossref · 10.1103/physrevlett.101.086402

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Metadata

Authors
Zhou, S. Y., Siegel, D. A., Fedorov, A. V., & Lanzara, A.
Venue
Physical Review Letters
Published
2008-08-20
Volume
101
Issue
8
Pages
086402-086402
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2057712887
Cited by
280
References
4
FWCI
14.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Metal to Insulator Transition in Epitaxial Graphene Induced by Molecular Doping. https://app.cochat.ai/papers/10.1103/physrevlett.101.086402
The paper
Zhou, S. Y., Siegel, D. A., Fedorov, A. V., & Lanzara, A. (2008). Metal to Insulator Transition in Epitaxial Graphene Induced by Molecular Doping. Physical Review Letters. https://doi.org/10.1103/physrevlett.101.086402

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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