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Computational Analysis of Benzenoid Systems Using Valency‐Based Entropy Metrics and Topological Indices

Author

Listed:
  • Muhammad Kamran
  • Muhammad Nadeem
  • Manal E. M. Abdulla
  • Ismail Naci Cangul
  • Nurullayev Mirolim Nosirovich

Abstract

Nanomaterials find application in electronics, drugs, and biology among other disciplines. Benzenoid systems with their homogeneous structures are especially fit for computer study because of their predictable geometries. This work investigates computational analysis of benzenoid systems using valency‐based entropy measurements and degree‐based topological indices. Knowing these indices helps one to anticipate the reactivity and stability of related compounds. The main focus of the work is on the thermodynamic parameter entropy, which reveals how one can modify the benzenoid hydrocarbon structures to improve their thermodynamic characteristics. In this work, topological indices combined with entropy measurements facilitates prediction and enhancement of benzenoid system physicochemical features. This helps one to grasp their possible applications in nanotechnology and medicine.

Suggested Citation

  • Muhammad Kamran & Muhammad Nadeem & Manal E. M. Abdulla & Ismail Naci Cangul & Nurullayev Mirolim Nosirovich, 2025. "Computational Analysis of Benzenoid Systems Using Valency‐Based Entropy Metrics and Topological Indices," Complexity, John Wiley & Sons, vol. 2025(1).
    • Handle: RePEc:wly:complx:v:2025:y:2025:i:1:n:6469958
    DOI: 10.1155/cplx/6469958
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    References listed on IDEAS

    as
    1. Md. Ashraful Alam & Muhammad Usman Ghani & Muhammad Kamran & Muhammad Shazib Hameed & Riaz Hussain Khan & A. Q. Baig & Hassan Raza, 2022. "Degree-Based Entropy for a Non-Kekulean Benzenoid Graph," Journal of Mathematics, Hindawi, vol. 2022, pages 1-12, June.
    2. Muhammad Kamran & Sadik Delen & Riaz Hussain Khan & Nadeem Salamat & A. Q. Baig & Ismail Naci Cangul & Md. Ashraful Alam, 2022. "Physico‐Chemical Characterization of Amylose and Amylopectin Using Revan Topological Indices," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    3. S. Nagarajan & Muhammad Imran & P. Mahesh Kumar & K. Pattabiraman & Muhammad Usman Ghani, 2023. "Degree-Based Entropy of Some Classes of Networks," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    4. Muhammad Awais & Zulfiqar Ahmed & Waseem Khalid & Ebenezer Bonyah & Tareq Al-shami, 2023. "Analysis of Zigzag and Rhombic Benzenoid Systems via Irregularity Indices," Journal of Mathematics, Hindawi, vol. 2023, pages 1-12, May.
    5. Muhammad Kamran & Sadik Delen & Riaz Hussain Khan & Nadeem Salamat & A. Q. Baig & Ismail Naci Cangul & Md. Ashraful Alam & Melike Kaplan, 2022. "Physico-Chemical Characterization of Amylose and Amylopectin Using Revan Topological Indices," Journal of Mathematics, Hindawi, vol. 2022, pages 1-12, July.
    6. Md. Ashraful Alam & Muhammad Usman Ghani & Muhammad Kamran & Muhammad Shazib Hameed & Riaz Hussain Khan & A. Q. Baig, 2022. "Degree‐Based Entropy for a Non‐Kekulean Benzenoid Graph," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
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