A Reduction Analysis of the Weiner Index on Predicting the Boiling Point of Hydrocarbons Using Graph Technique

Rathinavel, Shankar and Manivannan, Varadha Raj and Siva, M. and Padmavathy, E. (2025) A Reduction Analysis of the Weiner Index on Predicting the Boiling Point of Hydrocarbons Using Graph Technique. Communications on Applied Nonlinear Analysis, 32 (4s). 139 - 149. ISSN 1074133X

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Abstract

Introduction: This study investigates the link between graph eccentricity and boiling points for nonanes and decanes, demonstrating graph theory's ability to predict the physical characteristics of organic compounds. Objectives: Inspired by Wiener’s work on topological indices, we create a novel power formula based on graph eccentricity to predict boiling points. This provides a more straightforward technique than typical wiener index computations. Methods: Our findings show a substantial association between graph eccentricity and boiling temperatures, demonstrating the importance of structural characteristics in predicting chemical responses. Results: This study advances chemical graph theory by proposing an alternate approach for estimating boiling points, underlining the importance of graph-based studies in understanding molecule structures and behaviours. Conclusions: This research examines the molecular graph’s eccentricity for 105 nonanes and decanes. Using a power formula, we discovered a substantial relationship between the boiling point and the eccentricity of the chemical structure. © 2025 Elsevier B.V., All rights reserved.

Item Type: Article
Additional Information: Cited by: 0; All Open Access; Gold Open Access
Subjects: Chemistry > Physical and Theoretical Chemistry
Divisions: Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem > Artificial Intelligence and Data Science
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 25 Nov 2025 11:46
Last Modified: 25 Nov 2025 11:46
URI: https://vmuir.mosys.org/id/eprint/529

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