• Open Access

Effect of random edge-vacancy disorder in zigzag graphene nanoribbons

J. P. C. Baldwin and Y. Hancock
Phys. Rev. B 94, 165126 – Published 12 October 2016

Abstract

The magnetic and coherent transport properties of small-width zigzag graphene nanoribbons (ZGNRs) with monohydrogen edge passivation are investigated as a function of random edge-vacancy disorder and ribbon length. Results from noninteracting tight-binding models with (i) nearest and (ii) up to third nearest neighbor hopping are compared against those obtained from an extended mean-field Hubbard model for edge-defected ZGNRs (length = 48.02 Å and width = 9.24 Å). Through ensemble averaging, a persistent magnetism and Hubbard-U (i.e., spin-generated) conductance gap is found irrespective of the extent of random edge-vacancy disorder. At longer device lengths (up to 144.1 Å) and at high disorder (42.5%), gaps open in the noninteracting model systems, whereas the gap in the Hubbard-calculated systems becomes spin dependent. In all cases, the conductance gaps increase as a function of increasing system length, although the gaps in the Hubbard systems remain smaller due to increased robustness against edge disorder. The continuance of the magnetic state and gap robustness in the ensemble-averaged Hubbard results indicates a complex interplay between the kinetics, disorder, system size, and spin interaction. Such findings may serve to reinform previous studies that have used noninteracting models to investigate disorder in ZGNRs.

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  • Received 26 July 2016

DOI:https://doi.org/10.1103/PhysRevB.94.165126

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

J. P. C. Baldwin1 and Y. Hancock1,2,*

  • 1Department of Physics, University of York, Heslington, York YO10 5DD, United Kingdom
  • 2York Centre for Complex Systems Analysis, University of York, Heslington, York YO10 5GE, United Kingdom

  • *y.hancock@york.ac.uk

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Issue

Vol. 94, Iss. 16 — 15 October 2016

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