ISSN print edition: 0366-6352 ISSN electronic edition: 1336-9075 Registr. No.: MK SR 9/7 Published monthly

On statistical evaluation of reverse degree-based topological indices for iron disulfide network

Rashad Ismail, Muhammad Farhan Hanif, Saba Hanif, Muhammad Faisal Nadeem, Muhammad Faisal Hanif, and Muhammad Kamran Siddiqui

Department of Mathematics, Faculty of Science and Arts, King Khalid University, Abha, Saudi Arabia

E-mail: rismail@kku.edu.sa

Received: 16 February 2025  Accepted: 29 April 2025

Abstract:

The study analyzes iron disulfide networks with the inclusion of graph theory and chemical graph theory, zeroing in on reverse topological indices and simplifying their complicated relationships. Graph theory is a section of abstract mathematics that deals with structures of graphs and the interrelationships between them; graphs are conceptualized as vertices or points and edges, which correspond to connections. Chemical graph theory extends this concept into molecular structure, whereby atoms are reduced to vertices and chemical bonds to edges. It discusses reverse topological indices concerning iron disulfide networks and outlines the fact that these are relevant in statistical modeling, molecular topology, and chemical reactivity. Advanced concepts reported herein will allow better understanding from the viewpoint of solid-state chemistry and materials science, and insight into reactivity patterns, and structural behavior through sophisticated mathematical models and computational approaches.

Keywords: Biochemical Network; Chemical Bonding; Complex Networks; Graph Theory; Graph Theory in Probability; Valence-Bond Theory; Reverse first and second Zagreb index; Reverse general Randic index; Reverse geometric arithmetic index; Reverse forgotten index; Iron

Full paper is available at www.springerlink.com.

DOI: 10.1007/s11696-025-04105-5

Chemical Papers 79 (8) 5051–5065 (2025)