Rights statement: © 2007 The American Physical Society
Final published version, 278 KB, PDF document
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -