Parallel plate waveguide with anisotropic graphene plates: Effect of electric and magnetic biases

Malekabadi, Ali; Charlebois, Serge A. et Deslandes, Dominic (2013). « Parallel plate waveguide with anisotropic graphene plates: Effect of electric and magnetic biases ». Journal of Applied Physics, 113(11), 113708-1-113708-9.

Fichier(s) associé(s) à ce document :
[img]
Prévisualisation
PDF
Télécharger (1MB)

Résumé

The performances of a parallel plate waveguide (PPWG) supported by perfect electric conductor (PEC)-graphene and graphene-graphene plates are evaluated. The graphene plate behavior is modeled as an anisotropic medium with both diagonal and Hall conductivities derived from Kubo formula. The PPWG modes supported by PEC-graphene and graphene-graphene plates are studied. Maxwell’s equations are solved for these two waveguides, while the graphene layers are biased with an electric field only and with both electric and magnetic fields. It is shown that when both electric and magnetic biases are applied to the graphene, a hybrid mode (simultaneous transverse electric (TE) and transverse magnetic (TM) modes) will propagate inside the waveguide. The intensity of each TE and TM modes can be adjusted with the applied external bias fields. Study of different waveguides demonstrates that by decreasing the plate separation (d), the wave confinement improves. However, it increases the waveguide attenuation. A dielectric layer inserted between the plates can also be used to improve the wave confinement. The presented analytical procedure is applicable to other guiding structures having walls with isotropic or anisotropic conductivities.

Type: Article de revue scientifique
Mots-clés ou Sujets: Analytical procedure; Anisotropic conductivity; Electric and magnetic fields; Guiding structures; Parallel plate waveguide; Perfect electric conductor; Transverse electrics; Transverse magnetic modes; Anisotropic media; Anisotropy; Electric fields; Plates (structural components); Waveguides; Graphene
Unité d'appartenance: Faculté des sciences > Département d'informatique
Déposé par: Dominic Deslandes
Date de dépôt: 19 avr. 2016 18:27
Dernière modification: 27 avr. 2016 18:31
Adresse URL : http://archipel.uqam.ca/id/eprint/8191

Statistiques

Voir les statistiques sur cinq ans...