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Cited by 170

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Random Resistor Network Model of Minimal Conductivity in Graphene

Open access
Cheianov, Vadim V., Fal’ko, Vladimir I., Altshuler, Boris L., Aleiner, Igor L.·2007·Physical Review Letters

Abstract

Transport in undoped graphene is related to percolating current patterns in the networks of n- and p-type regions reflecting the strong bipolar charge density fluctuations. Finite transparency of the p-n junctions is vital in establishing the macroscopic conductivity. We propose a random resistor network model to analyze scaling dependencies of the conductance on the doping and disorder, the quantum magnetoresistance and the corresponding dephasing rate.

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Metadata

Authors
Cheianov, V. V., Fal’ko, V. I., Altshuler, B. L., & Aleiner, I. L.
Venue
Physical Review Letters
Published
2007-10-22
Volume
99
Issue
17
Pages
176801-176801
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2043826711
Cited by
170
References
1
FWCI
8.78
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Random Resistor Network Model of Minimal Conductivity in Graphene. https://app.cochat.ai/papers/10.1103/physrevlett.99.176801
The paper
Cheianov, V. V., Fal’ko, V. I., Altshuler, B. L., & Aleiner, I. L. (2007). Random Resistor Network Model of Minimal Conductivity in Graphene. Physical Review Letters. https://doi.org/10.1103/physrevlett.99.176801

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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.