Graphene optoelectronic devices have attracted a great deal of attention thanks to fascinating properties of graphene which make it promising material for developing nonphotonics and nanotechnology. Graphene possesses exceptionally high charge carrier mobility which is capable of providing broadband and high-speed devices. Optical and electrical characteristics of graphene can be actively controlled via application of either electrostatic or magnetostatic bias. The latter feature enables graphene devices to support very slow waves at different frequencies, resulting in miniaturized devices. However, there are some obstacles about graphene that hinder achieving its intriguing properties, including its fabrication technology, its contact with other materials. In this presentation, we want to discuss these challenges and suggest some strategies to mitigate some of negative impacts on the performance of graphene devices. By taking into account practical considerations in designing graphene devices, we present a number of applications using graphene, for example waveguides, antennas, cloaking devices, and transistors which are superior compared to the conventional ones. Furthermore, we investigate general and efficient methods for modeling of graphene in electronic and optoelectronic solvers and then, different configurations are proposed to set up an electrostatic bias which is useful for electrically doping of single and multi-layer graphene strips. In very slow wave scenarios, ultra-deep miniaturized devices can be obtained, which is an important feature in designing nanophotonic devices. However, we need to contemplate higher order approaches to accurately model non-local phenomena, which play an important role, especially at the nano-scale. In this regard, graphene’s capacitance model is utilized to efficiently consider the presence of graphene and additionally, we use a non-local conductivity model derived from a semi-classical model to electromagnetically characterize a graphene strip when interacting with very slow waves.

Aims and Scope: