Random resistor network model of minimal conductivity in graphene.

Cheianov, Vadim V. and Falko, Vladimir I. and Altshuler, Boris L. and Aleiner, Igor L. (2007) Random resistor network model of minimal conductivity in graphene. Physical Review Letters, 99 (17). p. 176801. ISSN 1079-7114

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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.

Item Type:	Article
Journal or Publication Title:	Physical Review Letters
Additional Information:	We propose and solve a random resistor network model describing transport in graphene with inhomogeneous carrier density, where strong bipolar charge fluctuations form networks of n- and p-doped regions. Our theory explains numerous observations of minimal conductivity in graphene-based devices by experimentalists, e.g., at Manchester, Delft, Harvard, Maryland. RAE_import_type : Journal article RAE_uoa_type : Physics
Subjects:	Q Science > QC Physics
Departments:	Faculty of Science and Technology > Physics
ID Code:	2365
Deposited By:	ep_importer
Deposited On:	01 Apr 2008 14:06
Refereed?:	Yes
Published?:	Published
Last Modified:	26 Jul 2012 16:12
Identification Number:
URI:	http://eprints.lancs.ac.uk/id/eprint/2365

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