Computing Molecular Topological Descriptors of Polymeric Networks Modeled by Sierpinski Networks

Muhamamd Azhar Iqbal, Muhammad Imran, Muhammad Kamran Siddiqui, Muhammad Asad Zaighum

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1496-1515
Number of pages20
JournalPolycyclic Aromatic Compounds
Volume42
Issue number4
DOIs
Publication statusPublished - 2022

Keywords

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

ASJC Scopus subject areas

  • Materials Chemistry
  • Polymers and Plastics
  • Organic Chemistry

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