Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties

Graphene twistronics using multilayer graphene is presented in such a way that it provides a metamaterial effect. This manuscript also analyzes the prediction of behavior using machine learning. The metamaterial effect is achieved by twisting the graphene layers. Graphene twistronics is a new concept for changing the electrical and optical properties of bilayer graphene by applying a small angle twist between the layers. The angle twists of 5(?)degrees, 10(?)degrees, and 15 degrees are analyzed for the proposed graphene twistronics design. Tuning in the absorption spectrum is achieved by applying small twists to the angles of the bilayer graphene. Results in the form of absorption, conductivity, permeability, permittivity, and impedance are presented for different twist angles. The twisted graphene layers also demonstrate negative permittivity and negative permeability, similar to metamaterials. These negative refraction properties of graphene twistronics provide flexibility and transparency, which can be applied in photovoltaic applications. Machine-learning-based regression models are used to reduce the simulation time and resources. The results show that a regression model can reliably estimate intermediate wavelength absorption values with an R-2 of 0.9999.

Automated summary

This paper presents graphene twistronics using multilayer graphene to achieve a metamaterial effect. The electrical and optical properties of bilayer graphene are changed by applying small angle twists between the layers. The twisted graphene layers demonstrate negative permittivity and negative permeability, similar to metamaterials. The results show that small twists in the bilayer graphene can tune the absorption spectrum.