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

By George W. Hanson. IEEE Transactions on Antennas and Propagation, 2008

793 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/5b92451460e1f398d7220b666425bf6ceddc0691

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In Biomedical Engineering

In Electronic, Optical and Magnetic Materials

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Citations in the corpus

Electromagnetic wireless nanosensor networks (2010, background): “Physical nanosensors and nanoactuators can be used to enhance remote controls of complex machinery, amongst others.”
Sinusoidally Modulated Graphene Leaky-Wave Antenna for Electronic Beamscanning at THz (2013, background): “In the low terahertz band and at room temperatures, interband contributions of graphene conductivity can safely be neglected [22].”
Atomically thin surface cloak using graphene monolayers. (2011, background): “, carboxylation and thiolation(35)), or actively by external static electric field (providing an isotropic scalar surface conductivity)(25,30) or external static magnetic field via Hall effects (providing anisotropic and tensor surface conductivity).(30) Graphene's surface conductivity may be modele”
Gyrotropy and Nonreciprocity of Graphene for Microwave Applications (2012, background): “In contrast, the benefits of these properties for electromagnetic waves have received little attention, except for a few studies on surface wave propagation along a graphene sheet [9], [10], probably due to the too small size (much smaller than the wavelength) of the graphene samples available until”
Integral Equation Analysis of Plane Wave Scattering by Coplanar Graphene-Strip Gratings in the THz Range (2013, methodology): “Graphene conductivity is characterized applying the Kubo formula [1], [2], [11], [16]”
Modeling Graphene in the Finite-Difference Time-Domain Method Using a Surface Boundary Condition (2013, background): “In the absence of magnetostatic bias and spatial dispersion, graphene can be represented as a scalar surface conductivity that depends on frequency , chemical potential (which can be controlled by either an applied electrostatic bias or doping), phenomenological scattering rate , and temperature [4]”
Graphene-based nano-patch antenna for terahertz radiation (2012, methodology): “However, owing to its ability to support surface-plasmon polaritons (SPP) (author?) [10, 11], graphene is seen as the enabling technology for this emerging eld.”