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Mathematical Modeling of Ferrocene Dendrimers Using Degree‐Based Irregularity Indices

Author

Listed:
  • Rukhsar Zireen
  • Abdul Mueed
  • Qammar Rubab
  • Saima Noureen
  • Hafiza Madiha Ali
  • Mamo Abebe Ashebo

Abstract

The molecular structure serves as a foundation for understanding the relationship between the chemical, physical, and biological properties of a given compound. Topological indices, which are numerical parameters derived from the topology of a molecular graph, are essential tools in chemical graph theory. This paper focuses on deriving several irregular topological‐like Albertson index, such as IRL, IRLU, IRRt, IRF, IRA, and IRDIF, and degree‐based indices, such as R(G), H(G), M2(G), GA(G), HM(G), ABC(G), and S(G), for ferrocene dendrimers. The findings have significant implications in areas such as drug design, pharmacy, and related fields.

Suggested Citation

  • Rukhsar Zireen & Abdul Mueed & Qammar Rubab & Saima Noureen & Hafiza Madiha Ali & Mamo Abebe Ashebo, 2025. "Mathematical Modeling of Ferrocene Dendrimers Using Degree‐Based Irregularity Indices," Journal of Applied Mathematics, John Wiley & Sons, vol. 2025(1).
    • Handle: RePEc:wly:jnljam:v:2025:y:2025:i:1:n:8918976
    DOI: 10.1155/jama/8918976
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    References listed on IDEAS

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    1. Nasir Ali & Zaeema Kousar & Maimoona Safdar & Fikadu Tesgara Tolasa & Enoch Suleiman, 2023. "Mapping Connectivity Patterns: Degree‐Based Topological Indices of Corona Product Graphs," Journal of Applied Mathematics, John Wiley & Sons, vol. 2023(1).
    2. Nasir Ali & Zaeema Kousar & Maimoona Safdar & Fikadu Tesgara Tolasa & Enoch Suleiman & Waqar A. Khan, 2023. "Mapping Connectivity Patterns: Degree-Based Topological Indices of Corona Product Graphs," Journal of Applied Mathematics, Hindawi, vol. 2023, pages 1-10, November.
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