Open Journal of Discrete Applied Mathematics
Vol. 6 (2023), Issue 3, pp. 35 – 40
ISSN: 2617-9687 (Online) 2617-9679 (Print)
DOI: 10.30538/psrp-odam2023.0092
Connectivity indices and QSPR analysis of benzenoid hydrocarbons
Zhen Lin\(^{1,*}\)
\(^{1}\)School of Mathematics and Statistics, Qinghai Normal University, Xining, 810008, Qinghai, China
Copyright © 2023 Zhen Lin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received: November 02, 2023 – Accepted: December 23, 2023 – Published: December 27, 2023
Abstract
In mathematical chemistry, a large number of topological indices are used to predict the physicochemical properties of compounds, especially in the study of quantitative structure-proerty relationship (QSPR).
However, many topological indices have almost the same predictive ability. In this paper, we focus on how to use fewer topological indices to predict the physicochemical properties of compounds through the QSPR analysis of connectivity indices of benzene hydrocarbons.
However, many topological indices have almost the same predictive ability. In this paper, we focus on how to use fewer topological indices to predict the physicochemical properties of compounds through the QSPR analysis of connectivity indices of benzene hydrocarbons.
Keywords:
Connectivity indices; QSPR; Benzene hydrocarbons.