2010
DOI: 10.1103/physrevb.81.245402
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Generalized tight-binding transport model for graphene nanoribbon-based systems

Abstract: All material supplied via Aaltodoc is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. An extended tight-binding model tha… Show more

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Cited by 147 publications
(125 citation statements)
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“…We stress that so long as signum(U N ) = signum(U B ), the precise values of the tight binding parameters do not make any difference to the overall topological properties of the system, and merely give small quantitative changes to the band structure and hence the exact positions of the conductance steps. In principle, a more accurate description of the band structure of the ribbons is given by a third-nearest neighbour tight binding theory [22,23], but this additional complexity changes none of the qualitative features of the results, or the considerations about the topology of the system. Therefore, we restrict our discussion to the nearest neighbour model for clarity.…”
Section: Methodsmentioning
confidence: 99%
“…We stress that so long as signum(U N ) = signum(U B ), the precise values of the tight binding parameters do not make any difference to the overall topological properties of the system, and merely give small quantitative changes to the band structure and hence the exact positions of the conductance steps. In principle, a more accurate description of the band structure of the ribbons is given by a third-nearest neighbour tight binding theory [22,23], but this additional complexity changes none of the qualitative features of the results, or the considerations about the topology of the system. Therefore, we restrict our discussion to the nearest neighbour model for clarity.…”
Section: Methodsmentioning
confidence: 99%
“…We use the parameters t 1 = −2.7 eV, t 2 = −0.2 eV, and t 3 = −0.18 eV, between sites that are first, second, and third-nearest neighbors, and the Hubbard on-site interaction parameter is U = 2 eV. 22 The many-body calculation utilizes the Lanczos algorithm to solve ∼100 lowest many-body eigenstates accurately. The state space is formed from a given symmetry sector by constructing many-body configurations of tight-binding orbitals, and by ordering them according to the energy of the tight-binding part of the Hamiltonian.…”
Section: Methodsmentioning
confidence: 99%
“…For instance, in GNRs with zigzag edges, electronic transport is dominated by edge states which have been observed in scanning tunneling microscopy [4]. These states are expected to be spin-polarized and make zigzag-edge GNR (ZGNR) junctions attractive for nanoscale spintronic applications such as spin filters [5][6][7][8][9][10][11][12]. In order to achieve a spintronic device, it is very important to find nonmagnetic materials where a spin-polarized current can be injected and flowed without becoming depolarized.…”
mentioning
confidence: 99%