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Nitrogen-Doped Graphene: Efficient Growth, Structure, and Electronic Properties

Usachov, D., Vilkov, O., Grüneis, A., Haberer, D., Fedorov, A., Adamchuk, V. K., Preobrajenski, A. B., Dudin, P., Barinov, A., Oehzelt, M., Laubschat, C., Vyalikh, D. V.·2011·Nano Letters

Abstract

A novel strategy for efficient growth of nitrogen-doped graphene (N-graphene) on a large scale from s-triazine molecules is presented. The growth process has been unveiled in situ using time-dependent photoemission. It has been established that a postannealing of N-graphene after gold intercalation causes a conversion of the N environment from pyridinic to graphitic, allowing to obtain more than 80% of all embedded nitrogen in graphitic form, which is essential for the electron doping in graphene. A band gap, a doping level of 300 meV, and a charge-carrier concentration of ∼8×10(12) electrons per cm2, induced by 0.4 atom % of graphitic nitrogen, have been detected by angle-resolved photoemission spectroscopy, which offers great promise for implementation of this system in next generation electronic devices.

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Metadata

Authors
Usachov, D., Vilkov, O., Grüneis, A., Haberer, D., Fedorov, A., Adamchuk, V. K., Preobrajenski, A. B., Dudin, P., Barinov, A., Oehzelt, M., Laubschat, C., & Vyalikh, D. V.
Venue
Nano Letters
Published
2011-11-16
Volume
11
Issue
12
Pages
5401-5407
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2027917902
Cited by
764
References
3
FWCI
23.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nitrogen-Doped Graphene: Efficient Growth, Structure, and Electronic Properties. https://app.cochat.ai/papers/10.1021/nl2031037
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Usachov, D., Vilkov, O., Grüneis, A., Haberer, D., Fedorov, A., Adamchuk, V. K., Preobrajenski, A. B., Dudin, P., Barinov, A., Oehzelt, M., Laubschat, C., & Vyalikh, D. V. (2011). Nitrogen-Doped Graphene: Efficient Growth, Structure, and Electronic Properties. Nano Letters. https://doi.org/10.1021/nl2031037

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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.