• DocumentCode
    76170
  • Title

    FDTD Formulation for Graphene Modeling Based on Piecewise Linear Recursive Convolution and Thin Material Sheets Techniques

  • Author

    de Oliveira, Rodrigo M. S. ; Rodrigues, Nilton R. N. M. ; Dmitriev, Victor

  • Author_Institution
    Inst. of Technol., Fed. Univ. of Para, Belem, Brazil
  • Volume
    14
  • fYear
    2015
  • fDate
    2015
  • Firstpage
    767
  • Lastpage
    770
  • Abstract
    A finite-difference time-domain formulation based on piecewise linear recursive convolution method and on thin material sheets technique is developed for modeling terahertz graphene antennas and some other photonic components. The graphene sheets are modeled by specific recursive equations obtained for tangential electric field components, allowing one to easily apply voltage or current sources between the sheets. The effective conductivity of graphene sheets in Yee´s three-dimensional lattice is calculated and used in simulations. A bow-tie-like geometry is investigated, aiming at resonance tuning. The developed numerical formulation is validated by comparison of results to data published in literature.
  • Keywords
    bow-tie antennas; finite difference time-domain analysis; graphene; piecewise linear techniques; recursive estimation; terahertz materials; FDTD formulation; bow-tie-like geometry; effective conductivity; finite-difference time-domain formulation; graphene modeling; graphene sheets; photonic components; piecewise linear recursive convolution; recursive equations; resonance tuning; tangential electric field components; terahertz graphene antennas; thin material sheets techniques; Antennas; Computational modeling; Electrodes; Finite difference methods; Graphene; Mathematical model; Time-domain analysis; Finite-difference time-domain (FDTD) method; graphene; nanoantennas; piecewise linear recursive convolution; terahertz devices; thin material sheets;
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2014.2378174
  • Filename
    6975109