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Physical Review Letters
Article
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Physical Review Letters
Article . 2006 . Peer-reviewed
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Sub-Poissonian Shot Noise in Graphene

Authors: Tworzydlo, J.; Trauzettel, B.; Titov, M.L.; Rycerz, A.; Beenakker, C.W.J.;

Sub-Poissonian Shot Noise in Graphene

Abstract

We calculate the mode-dependent transmission probability of massless Dirac fermions through an ideal strip of graphene (length L, width W, no impurities or defects) to obtain the conductance and shot noise as a function of Fermi energy. We find that the minimum conductivity of order e2/h at the Dirac point (when the electron and hole excitations are degenerate) is associated with a maximum of the Fano factor (the ratio of noise power and mean current). For short and wide graphene strips the Fano factor at the Dirac point equals 1/3, 3 times smaller than for a Poisson process. This is the same value as for a disordered metal, which is remarkable since the classical dynamics of the Dirac fermions is ballistic.

Countries
Netherlands, Poland, Germany
Keywords

info:eu-repo/classification/pacs/73.23.Ad, info:eu-repo/classification/pacs/73.63.-b, info:eu-repo/classification/ddc/530, info:eu-repo/classification/pacs/73.50.Td

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    766
    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
766
Top 0.1%
Top 0.1%
Top 0.1%
Green
hybrid