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Computing Molecular Topological Descriptors of Polymeric Networks Modeled by Sierpinski Networks.

Authors :
Iqbal, Muhamamd Azhar
Imran, Muhammad
Siddiqui, Muhammad Kamran
Zaighum, Muhammad Asad
Source :
Polycyclic Aromatic Compounds. 2022, Vol. 42 Issue 4, p1496-1515. 20p.
Publication Year :
2022

Abstract

Sierpinski networks constitute an extensively studied class of graphs of fractal nature applicable in topology, mathematics of Tower of Hanoi, computer science, and Chemical graph theory. Recently the properties of Sierpinski networks have been studied like physico-chemical properties, thermodynamic properties, chemical activity, biological activity, metric dimension and degree based topological indices. In this paper, we further extend the study of Sierpinski networks and computed Zagreb types molecular descriptors (molecular topological indices) and their variants. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10406638
Volume :
42
Issue :
4
Database :
Academic Search Index
Journal :
Polycyclic Aromatic Compounds
Publication Type :
Academic Journal
Accession number :
157070169
Full Text :
https://doi.org/10.1080/10406638.2020.1783331