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Article

Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties

1
Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia
2
Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
3
Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, 1400 R St., Lincoln, NE 68588, USA
4
Department of Computer Engineering, Marwadi University, Rajkot 360003, India
*
Authors to whom correspondence should be addressed.
Mathematics 2023, 11(7), 1579; https://doi.org/10.3390/math11071579
Submission received: 6 February 2023 / Revised: 20 March 2023 / Accepted: 20 March 2023 / Published: 24 March 2023
(This article belongs to the Special Issue Analytical Methods in Wave Scattering and Diffraction, 2nd Edition)

Abstract

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°, 10°, and 15° 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 R2 of 0.9999.
Keywords: twistronics; photonics; graphene; metamaterial; absorption; tuning twistronics; photonics; graphene; metamaterial; absorption; tuning

Share and Cite

MDPI and ACS Style

Armghan, A.; Alsharari, M.; Aliqab, K.; Alsalman, O.; Parmar, J.; Patel, S.K. Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties. Mathematics 2023, 11, 1579. https://doi.org/10.3390/math11071579

AMA Style

Armghan A, Alsharari M, Aliqab K, Alsalman O, Parmar J, Patel SK. Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties. Mathematics. 2023; 11(7):1579. https://doi.org/10.3390/math11071579

Chicago/Turabian Style

Armghan, Ammar, Meshari Alsharari, Khaled Aliqab, Osamah Alsalman, Juveriya Parmar, and Shobhit K. Patel. 2023. "Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties" Mathematics 11, no. 7: 1579. https://doi.org/10.3390/math11071579

APA Style

Armghan, A., Alsharari, M., Aliqab, K., Alsalman, O., Parmar, J., & Patel, S. K. (2023). Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties. Mathematics, 11(7), 1579. https://doi.org/10.3390/math11071579

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