IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v93y2020i6d10.1140_epjb_e2020-100579-0.html
   My bibliography  Save this article

A DFT/TDDFT study on dual doped bilayer graphene containing Se and X (Ga,P,S)

Author

Listed:
  • Yadollah Safaei Ardakani

    (College of Sciences, Shiraz University)

  • Mahmood Moradi

    (College of Sciences, Shiraz University
    Institute of Nanotechnology, Shiraz University)

Abstract

The electronic, magnetic and optical properties of dual doped bilayer graphene (BLG), containing the impurity of Se in one monolayer, and X (= Ga, P, S) in other one, were calculated by DFT approach. Given the band structures and DOS diagrams, for the Se-P doped BLG the half-metallic, for the case of Se-Ga the metallic, and for the Se-S doped BLG the semiconductor behavior was observed. These properties were analyzed by plotting the diagrams of equipotential surfaces, spin polarization and PDOS. By calculating the optical properties using TDDFT approach, we found some evidences for the formation of surface plasmons in the Se-Ga doped BLG. Due to their impurities, the absorption spectrums of the three structures in the UV range have significant differences with respect to each other. Finally, in the most optical variables, according to the similarity of Se and Ga atoms in their closed-shell cores, in Se-Ga doped BLG the peaks are stronger and sharper. Graphical abstract

Suggested Citation

  • Yadollah Safaei Ardakani & Mahmood Moradi, 2020. "A DFT/TDDFT study on dual doped bilayer graphene containing Se and X (Ga,P,S)," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(6), pages 1-8, June.
  • Handle: RePEc:spr:eurphb:v:93:y:2020:i:6:d:10.1140_epjb_e2020-100579-0
    DOI: 10.1140/epjb/e2020-100579-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2020-100579-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1140/epjb/e2020-100579-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Computational Methods;

    Statistics

    Access and download statistics

    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:spr:eurphb:v:93:y:2020:i:6:d:10.1140_epjb_e2020-100579-0. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.