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 concep...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/7/1579 |
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| author | Ammar Armghan Meshari Alsharari Khaled Aliqab Osamah Alsalman Juveriya Parmar Shobhit K. Patel |
| author_facet | Ammar Armghan Meshari Alsharari Khaled Aliqab Osamah Alsalman Juveriya Parmar Shobhit K. Patel |
| author_sort | Ammar Armghan |
| collection | DOAJ |
| description | 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 R<sup>2</sup> of 0.9999. |
| first_indexed | 2024-03-11T05:30:54Z |
| format | Article |
| id | doaj.art-9595faca6c65489d8bda68f563149d9b |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T05:30:54Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-9595faca6c65489d8bda68f563149d9b2023-11-17T17:07:36ZengMDPI AGMathematics2227-73902023-03-01117157910.3390/math11071579Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial PropertiesAmmar Armghan0Meshari Alsharari1Khaled Aliqab2Osamah Alsalman3Juveriya Parmar4Shobhit K. Patel5Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Mechanical and Materials Engineering, University of Nebraska-Lincoln, 1400 R St., Lincoln, NE 68588, USADepartment of Computer Engineering, Marwadi University, Rajkot 360003, IndiaGraphene 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 R<sup>2</sup> of 0.9999.https://www.mdpi.com/2227-7390/11/7/1579twistronicsphotonicsgraphenemetamaterialabsorptiontuning |
| spellingShingle | Ammar Armghan Meshari Alsharari Khaled Aliqab Osamah Alsalman Juveriya Parmar Shobhit K. Patel Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties Mathematics twistronics photonics graphene metamaterial absorption tuning |
| title | Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties |
| title_full | Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties |
| title_fullStr | Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties |
| title_full_unstemmed | Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties |
| title_short | Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties |
| title_sort | graphene twistronics tuning the absorption spectrum and achieving metamaterial properties |
| topic | twistronics photonics graphene metamaterial absorption tuning |
| url | https://www.mdpi.com/2227-7390/11/7/1579 |
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