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Large-scale tight-binding simulations of quantum transport in ballistic graphene

Overview of attention for article published in Journal of Physics: Condensed Matter, August 2018
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  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 Wikipedia page

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Title
Large-scale tight-binding simulations of quantum transport in ballistic graphene
Published in
Journal of Physics: Condensed Matter, August 2018
DOI 10.1088/1361-648x/aad6f1
Pubmed ID
Authors

Gaetano Calogero, Nick R Papior, Peter Bøggild, Mads Brandbyge

Abstract

Graphene has proven to host outstanding mesoscopic effects involving massless Dirac quasiparticles travelling ballistically resulting in the current flow exhibiting light-like behaviour. A new branch of 2D electronics inspired by the standard principles of optics is rapidly evolving, calling for a deeper understanding of transport in large-scale devices at a quantum level. Here we perform large-scale quantum transport calculations based on a tight-binding model of graphene and the non-equilibrium Green's function method and include the effects of p-n junctions of different shape, magnetic field, and absorptive regions acting as drains for current. We stress the importance of choosing absorbing boundary conditions in the calculations to correctly capture how current flows in the limit of infinite devices. As a specific application we present a fully quantum-mechanical framework for the '2D Dirac fermion microscope' recently proposed by Bøggild et al (2017 Nat. Commun. 8 10.1038), tackling several key electron-optical effects therein predicted via semiclassical trajectory simulations, such as electron beam collimation, deflection and scattering off Veselago dots. Our results confirm that a semiclassical approach to a large extend is sufficient to capture the main transport features in the mesoscopic limit and the optical regime, but also that a richer electron-optical landscape is to be expected when coherence or other purely quantum effects are accounted for in the simulations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Bachelor 9 13%
Student > Ph. D. Student 9 13%
Student > Master 8 12%
Other 2 3%
Other 6 9%
Unknown 23 34%
Readers by discipline Count As %
Physics and Astronomy 19 28%
Biochemistry, Genetics and Molecular Biology 7 10%
Materials Science 7 10%
Chemistry 4 6%
Engineering 3 4%
Other 6 9%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2020.
All research outputs
#7,209,370
of 25,385,509 outputs
Outputs from Journal of Physics: Condensed Matter
#596
of 6,154 outputs
Outputs of similar age
#116,155
of 341,279 outputs
Outputs of similar age from Journal of Physics: Condensed Matter
#8
of 210 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,154 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.