• DocumentCode
    1092714
  • Title

    Dyadic Green´s Functions for an Anisotropic, Non-Local Model of Biased Graphene

  • Author

    Hanson, George W.

  • Author_Institution
    Univ. of Wisconsin-Milwaukee, Milwaukee
  • Volume
    56
  • Issue
    3
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    747
  • Lastpage
    757
  • Abstract
    Dyadic Green´s functions are presented for an anisotropic surface conductivity model of biased graphene. The graphene surface can be biased using either a perpendicular static electric field, or by a static magnetic field via the Hall effect. The graphene is represented by an infinitesimally-thin, two-sided, non-local anisotropic conductivity surface, and the field is obtained in terms of Sommerfeld integrals. The role of spatial dispersion is accessed, and the effect of various static bias fields on electromagnetic field behavior is examined. It is shown that by varying the bias one can exert significant control over graphene´s electromagnetic propagation characteristics, including guided surface wave phenomena, which may be useful for future electronic and photonic device applications.
  • Keywords
    Green´s function methods; Hall effect; electromagnetic field theory; electromagnetic wave propagation; magnetic anisotropy; surface conductivity; Hall effect; Sommerfeld integrals; anisotropic surface conductivity model; biased graphene; dyadic Green´s functions; electromagnetic field behavior; electromagnetic propagation characteristics; electromagnetic theory; guided surface wave phenomena; nonlocal model; perpendicular static electric field; spatial dispersion; static magnetic field; Anisotropic magnetoresistance; Carbon nanotubes; Conducting materials; Conductivity; Dispersion; Green´s function methods; Hall effect; Magnetostatic waves; Surface waves; Tensile stress; Dyadic Green´s functions; electromagnetic theory; nanotechnology;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2008.917005
  • Filename
    4463896