IDEAS home Printed from https://ideas.repec.org/a/hin/complx/4112362.html
   My bibliography  Save this article

On Topological Analysis of Niobium (II) Oxide Network via Curve Fitting and Entropy Measures

Author

Listed:
  • Muhammad Kamran Siddiqui
  • Sana Javed
  • Sadia Khalid
  • Mazhar Hussain
  • Muhammad Shahbaz
  • Samuel Asefa Fufa
  • Yue Song

Abstract

The remarkable optical features of metallic nanoparticles have extensively developed the interest of scientists and researchers. The generated heat overwhelms cancer tissue incident to nanoparticles with no damage to sound tissues. Niobium nanoparticles have the ability of easy ligands connection so they are very suitable in treating cancer optothermally. A modern field of applied chemistry is chemical graph theory. With the use of combinatorial methods, such as vertex and edge partitions, we explore the connection between atoms and bonds. Topological indices play a vital part in equipping directions to treat cancers or tumors. These indices might be derived experimentally or computed numerically. Although experimental results are worthful but they are expensive as well, so computational analysis provides an economical and rapid way. A topological index is a numerical value that is only determined by the graph. In this paper, we will discuss the chemical graph of niobium (II) oxide. Additionally, each topological index is related with thermodynamical properties of niobium (II) oxide, including entropy and enthalpy. This has been done in MATLAB software, using rational built-in method.

Suggested Citation

  • Muhammad Kamran Siddiqui & Sana Javed & Sadia Khalid & Mazhar Hussain & Muhammad Shahbaz & Samuel Asefa Fufa & Yue Song, 2022. "On Topological Analysis of Niobium (II) Oxide Network via Curve Fitting and Entropy Measures," Complexity, Hindawi, vol. 2022, pages 1-25, August.
    • Handle: RePEc:hin:complx:4112362
    DOI: 10.1155/2022/4112362
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2022/4112362.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/complexity/2022/4112362.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/4112362?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
    ---><---

    More about this item

    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:hin:complx:4112362. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.