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Electronic transport in polycrystalline graphene

Open access
Yazyev, Oleg V., Louie, Steven G.·2010·Nature Materials

Abstract

Most materials in available macroscopic quantities are polycrystalline. Graphene, a recently discovered two-dimensional form of carbon with strong potential for replacing silicon in future electronics, is no exception. There is growing evidence of the polycrystalline nature of graphene samples obtained using various techniques. Grain boundaries, intrinsic topological defects of polycrystalline materials, are expected to markedly alter the electronic transport in graphene. Here, we develop a theory of charge carrier transmission through grain boundaries composed of a periodic array of dislocations in graphene based on the momentum conservation principle. Depending on the grain-boundary structure we find two distinct transport behaviours--either high transparency, or perfect reflection of charge carriers over remarkably large energy ranges. First-principles quantum transport calculations are used to verify and further investigate this striking behaviour. Our study sheds light on the transport properties of large-area graphene samples. Furthermore, purposeful engineering of periodic grain boundaries with tunable transport gaps would allow for controlling charge currents without the need to introduce bulk bandgaps in otherwise semimetallic graphene. The proposed approach can be regarded as a means towards building practical graphene electronics.

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Metadata

Authors
Yazyev, O. V., & Louie, S. G.
Venue
Nature Materials
Published
2010-08-22
Volume
9
Issue
10
Pages
806-809
ISSN
  • 1476-1122 (ISSN-L)
  • 1476-4660
OpenAlex
W2163450833
Cited by
889
References
6
FWCI
33.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Electronic transport in polycrystalline graphene. https://app.cochat.ai/papers/10.1038/nmat2830
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Yazyev, O. V., & Louie, S. G. (2010). Electronic transport in polycrystalline graphene. Nature Materials. https://doi.org/10.1038/nmat2830

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

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