journal article·2017-07-01Open access

Third nearest neighbor parameterized tight binding model for graphene nano-ribbons

Van-Truong Tran, Jérôme Saint-Martin, Philippe Dollfus, Sebastian Volz

AIP Advances· Volume 7· Issue 7

Abstract

The existing tight binding models can very well reproduce the ab initio band structure of a 2D graphene sheet. For graphene nano-ribbons (GNRs), the current sets of tight binding parameters can successfully describe the semi-conducting behavior of all armchair GNRs. However, they are still failing in reproducing accurately the slope of the bands that is directly associated with the group velocity and the effective mass of electrons. In this work, both density functional theory and tight binding calculations were performed and a new set of tight binding parameters up to the third nearest neighbors including overlap terms is introduced. The results obtained with this model offer excellent agreement with the predictions of the density functional theory in most cases of ribbon structures, even in the high-energy region. Moreover, this set can induce electron-hole asymmetry as manifested in results from density functional theory. Relevant outcomes are also achieved for armchair ribbons of various widths as well as for zigzag structures, thus opening a route for multi-scale atomistic simulation of large systems that cannot be considered using density functional theory.
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Research context

OpenAlex topics: Graphene research and applications · Quantum and electron transport phenomena · Advancements in Battery Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

EM2C, CentraleSupélec, Université Paris Saclay, CNRS 1 , 92295 Châtenay Malabry, France

C2N, CNRS, Université Paris-sud, Université Paris Saclay 2 , 91405 Orsay, France

LIMMS, Institute of Industrial Science, University of Tokyo, CNRS-IIS UMI2820 3 , 4-6-1 Komaba Meguro-Ku, Tokyo 153-8505, Japan

Funding

TRANSFLEXTEG EU Project

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