Conductivity of epitaxial and CVD graphene with correlated line defects

T. M. Radchenko, Artsem Shylau, I. V. Zozoulenko

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Transport properties of single-layer graphene with correlated one-dimensional defects are studied theoretically using the computational model within the time-dependent real-space Kubo-Greenwood formalism. Such defects are present in epitaxial graphene, comprising atomic terraces and steps due to the substrate morphology, and in polycrystalline chemically vapor-deposited (CVD) graphene due to the grain boundaries, composed of a periodic array of dislocations, or quasi-periodic nanoripples originated from the metal substrate. The extended line defects are described by the long-range Lorentzian-type scattering potential. The dc conductivity is calculated numerically for different cases of distribution of line defects. This includes a random (uncorrelated) and a correlated distribution with a prevailing direction in the orientation of lines. The anisotropy of the conductivity along and across the line defects is revealed, which agrees with experimental measurements for epitaxial graphene grown on SiC. We performed a detailed study of the conductivity for different defect correlations, introducing the correlation angle αmax-the maximum possible angle between any two lines. We find that for a given electron density, the relative enhancement of the conductivity for the case of fully correlated line defects in comparison to the case of uncorrelatecl ones is larger for a higher defect density. Finally, we, for the first time, study the conductivity of realistic samples where both extended line defects and point-like scatterers such as adatoms and charged impurities are presented.
Original languageEnglish
JournalSolid State Communications
Volume195
Pages (from-to)88-94
Number of pages7
ISSN0038-1098
DOIs
Publication statusPublished - 2014

Keywords

  • Epitaxial and CVD Graphene
  • Line and point defects
  • Quantum transport
  • Numerical simulations

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