Computing Molecular Topological Descriptors of Polymeric Networks Modeled by Sierpinski Networks

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.

Keywords:

• Sierpinski networks
• molecular descriptors
• Zagreb indices
• forgotten topological index
• Balaban index
• Sanskruti index

MATHEMATICS SUBJECT CLASSIFICATION:

• 05C09
• 05C92
• 92E10

Acknowledgment

The authors would like to thanks the two anonymous reviewers for their very constructive comments that helped us to enhance the quality of this manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research is supported by the Startup Research Grant 2016 of United Arab Emirates University (UAEU), Al Ain, United Arab Emirates via Grant No. G00003271 and UPAR Grant of UAEU via Grant No. G00002590.