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Random resistor network model of minimal conductivity in graphene

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Random resistor network model of minimal conductivity in graphene. / Cheianov, Vadim V.; Falko, Vladimir; Altshuler, Boris L. et al.
In: Physical review letters, Vol. 99, No. 17, 176801, 26.10.2007.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Cheianov, VV, Falko, V, Altshuler, BL & Aleiner, IL 2007, 'Random resistor network model of minimal conductivity in graphene', Physical review letters, vol. 99, no. 17, 176801. https://doi.org/10.1103/PhysRevLett.99.176801

APA

Cheianov, V. V., Falko, V., Altshuler, B. L., & Aleiner, I. L. (2007). Random resistor network model of minimal conductivity in graphene. Physical review letters, 99(17), Article 176801. https://doi.org/10.1103/PhysRevLett.99.176801

Vancouver

Cheianov VV, Falko V, Altshuler BL, Aleiner IL. Random resistor network model of minimal conductivity in graphene. Physical review letters. 2007 Oct 26;99(17):176801. doi: 10.1103/PhysRevLett.99.176801

Author

Cheianov, Vadim V. ; Falko, Vladimir ; Altshuler, Boris L. et al. / Random resistor network model of minimal conductivity in graphene. In: Physical review letters. 2007 ; Vol. 99, No. 17.

Bibtex

@article{ab24d59a8d8a4fc19ec4670cafe8e9d5,
title = "Random resistor network model of minimal conductivity in graphene",
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.",
keywords = "PHASE",
author = "Cheianov, {Vadim V.} and Vladimir Falko and Altshuler, {Boris L.} and Aleiner, {Igor L.}",
note = "{\textcopyright} 2007 The American Physical Society",
year = "2007",
month = oct,
day = "26",
doi = "10.1103/PhysRevLett.99.176801",
language = "English",
volume = "99",
journal = "Physical review letters",
issn = "1079-7114",
publisher = "American Physical Society",
number = "17",

}

RIS

TY - JOUR

T1 - Random resistor network model of minimal conductivity in graphene

AU - Cheianov, Vadim V.

AU - Falko, Vladimir

AU - Altshuler, Boris L.

AU - Aleiner, Igor L.

N1 - © 2007 The American Physical Society

PY - 2007/10/26

Y1 - 2007/10/26

N2 - 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.

AB - 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.

KW - PHASE

U2 - 10.1103/PhysRevLett.99.176801

DO - 10.1103/PhysRevLett.99.176801

M3 - Journal article

VL - 99

JO - Physical review letters

JF - Physical review letters

SN - 1079-7114

IS - 17

M1 - 176801

ER -