2013
DOI: 10.1103/physrevb.88.125430
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Effect of edge reconstruction and electron-electron interactions on quantum transport in graphene nanoribbons

Abstract: We present numerical studies of conduction in graphene nanoribbons with reconstructed edges based on the standard tight-binding model of the graphene and the extended Hückel model of the reconstructed defects. We performed atomic geometry relaxation of individual defects using density functional theory and then explicitly calculated the tight-binding parameters used to model electron transport in graphene with reconstructed edges. The calculated conductances reveal strong backscattering and electron-hole asymm… Show more

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Cited by 24 publications
(25 citation statements)
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“…86,87 More complicated reconstructions show a change in the number of carbon atoms in the outermost rings. 85,[88][89][90][91][92] A small selection of such edge reconstructions with a changed number of carbon atoms per ring is shown in Fig. 6.…”
Section: B Reconstructed Edgesmentioning
confidence: 99%
“…86,87 More complicated reconstructions show a change in the number of carbon atoms in the outermost rings. 85,[88][89][90][91][92] A small selection of such edge reconstructions with a changed number of carbon atoms per ring is shown in Fig. 6.…”
Section: B Reconstructed Edgesmentioning
confidence: 99%
“…As is well confirmed by now, the impact of a single impurity on the conductance is extremely sensitive to its precise placing; the conductance can drop by an order of magnitude when shifting the adsorbate from one carbon atom to a neighboring one. Other defects, such as edge disorder 9,13 or Stone-Wales defects 12,13 , also affect the transmission but with a dramatically lower sensitivity to the precise defect location.…”
Section: Introductionmentioning
confidence: 99%
“…Other possible edge reconstructions, see e.g. [30][31][32], are not considered here. Note that the orientation of the graphene lattice with respect to the used coordinate system is not changed in the two stripes.…”
Section: Systemmentioning
confidence: 99%