IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i7p1579-d1106474.html
   My bibliography  Save this article

Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties

Author

Listed:
  • Ammar Armghan

    (Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia)

  • Meshari Alsharari

    (Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia)

  • Khaled Aliqab

    (Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia)

  • Osamah Alsalman

    (Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

  • Juveriya Parmar

    (Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, 1400 R St., Lincoln, NE 68588, USA
    Department of Computer Engineering, Marwadi University, Rajkot 360003, India)

  • Shobhit K. Patel

    (Department of Computer Engineering, Marwadi University, Rajkot 360003, India)

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 R 2 of 0.9999.

Suggested Citation

  • Ammar Armghan & Meshari Alsharari & Khaled Aliqab & Osamah Alsalman & Juveriya Parmar & Shobhit K. Patel, 2023. "Graphene Twistronics: Tuning the Absorption Spectrum and Achieving Metamaterial Properties," Mathematics, MDPI, vol. 11(7), pages 1-17, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1579-:d:1106474
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/7/1579/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/7/1579/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patel, Shobhit K. & Parmar, Juveriya & Katkar, Vijay, 2022. "Graphene-based multilayer metasurface solar absorber with parameter optimization and behavior prediction using Long Short-Term Memory model," Renewable Energy, Elsevier, vol. 191(C), pages 47-58.
    2. Mario Lucido, 2021. "Electromagnetic Scattering from a Graphene Disk: Helmholtz-Galerkin Technique and Surface Plasmon Resonances," Mathematics, MDPI, vol. 9(12), pages 1-15, June.
    3. Mengzhou Liao & Zheng Wei & Luojun Du & Qinqin Wang & Jian Tang & Hua Yu & Fanfan Wu & Jiaojiao Zhao & Xiaozhi Xu & Bo Han & Kaihui Liu & Peng Gao & Tomas Polcar & Zhipei Sun & Dongxia Shi & Rong Yang, 2020. "Precise control of the interlayer twist angle in large scale MoS2 homostructures," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikolaos L. Tsitsas, 2023. "Analytical Methods in Wave Scattering and Diffraction Volume I," Mathematics, MDPI, vol. 11(4), pages 1-5, February.
    2. Lu Li & Qinqin Wang & Fanfan Wu & Qiaoling Xu & Jinpeng Tian & Zhiheng Huang & Qinghe Wang & Xuan Zhao & Qinghua Zhang & Qinkai Fan & Xiuzhen Li & Yalin Peng & Yangkun Zhang & Kunshan Ji & Aomiao Zhi , 2024. "Epitaxy of wafer-scale single-crystal MoS2 monolayer via buffer layer control," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Meshari Alsharari & Ammar Armghan & Khaled Aliqab, 2023. "Numerical Analysis and Parametric Optimization of T-Shaped Symmetrical Metasurface with Broad Bandwidth for Solar Absorber Application Based on Graphene Material," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    4. Juhyeok Lee & Syed Zahid Hassan & Sangjun Lee & Hye Ryun Sim & Dae Sung Chung, 2022. "Azide-functionalized ligand enabling organic–inorganic hybrid dielectric for high-performance solution-processed oxide transistors," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Manzhang Xu & Hongjia Ji & Lu Zheng & Weiwei Li & Jing Wang & Hanxin Wang & Lei Luo & Qianbo Lu & Xuetao Gan & Zheng Liu & Xuewen Wang & Wei Huang, 2024. "Reconfiguring nucleation for CVD growth of twisted bilayer MoS2 with a wide range of twist angles," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1579-:d:1106474. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.