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A View of Banhatti and Revan Indices in Chemical Graphs

Author

Listed:
  • Abid Mahboob
  • G. Muhiuddin
  • Imran Siddique
  • Sajid Mahboob Alam

Abstract

A special type of graph invariant called topological index is the collection of data on algebraic graphs and provides a mathematical way to understand chemical structural features. One of the driving factors behind the wide public attention according to these indices is their remarkable ability to correlate and predict the properties of a wide range of molecular species. Our concern is basically with the study of molecular structures, its shapes, geometries, number of atoms, vertices, bond length, and bond strength. It is very expensive to find the properties of compounds in laboratories due to different expensive apparatus and expensive rare material. It is also time consuming and requires an expert person to perform the experiments. So with the help of graphs and topological index, we want to give an easy approach to find the different characteristics of molecular structures with practical lab experiments. It is a mathematical and theoretical method to estimate the physicochemical properties. Many physicochemical features of a molecular compound can be predicted using topological indices. In this article, we will determine some topological invariants of silicon carbide SiC3–I[t, u] for all values of t and u.

Suggested Citation

  • Abid Mahboob & G. Muhiuddin & Imran Siddique & Sajid Mahboob Alam, 2022. "A View of Banhatti and Revan Indices in Chemical Graphs," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:5680712
    DOI: 10.1155/2022/5680712
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    References listed on IDEAS

    as
    1. Abid Mahboob & Sajid Mahboob & Mohammed M. M. Jaradat & Nigait Nigar & Imran Siddique & Ali Ahmad, 2021. "On Some Properties of Multiplicative Topological Indices in Silicon-Carbon," Journal of Mathematics, Hindawi, vol. 2021, pages 1-10, November.
    2. Jiang-Hua Tang & Muhammad Abid & Kashif Ali & Asfand Fahad & Muhammad Anwar Chaudhry & Muhammad Imran Qureshi & Jia-Bao Liu & Xiangfeng Yang, 2021. "On Computation of Edge Degree-Based Banhatti Indices of a Certain Molecular Network," Journal of Mathematics, Hindawi, vol. 2021, pages 1-7, November.
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