Improved FDTD simulation for predicting transmission characteristics of graphene and solid plasma composite with a biased magnetic field

One generalized piecewise linear recursive convolution (PLRC) FDTD method is proposed for predicting transmission characteristics of graphene and solid plasma composite biased by a magnetic field. This improved method is very flexiable for efficiently modeling single and even multi-layer anisotropic and dispersive “thin” layers together with other anisotropic media, which can be used for the development of some novel structures for RF applications. Parametic studies are performed to demonstrate double-gyrotropy effects in both graphene and solid plasma on the transmission coefficient of the normally incident plane wave, and it can be controlled or adjusted by the biasing magnetic field. This research can provide some fundamental information about the interaction of an electromagnetic wave with nonreciprocal graphene-based composites.