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Computing Molecular Topological Descriptors of Polymeric Networks Modeled by Sierpinski Networks
Polycyclic Aromatic Compounds ( IF 2.4 ) Pub Date : 2020-07-06 , DOI: 10.1080/10406638.2020.1783331
Muhamamd Azhar Iqbal 1 , Muhammad Imran 2 , Muhammad Kamran Siddiqui 3 , Muhammad Asad Zaighum 1
Affiliation  

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.



中文翻译:

计算由 Sierpinski 网络建模的聚合物网络的分子拓扑描述符

摘要

谢尔宾斯基网络构成了一类广泛研究的分形性质图,适用于拓扑、河内塔数学、计算机科学和化学图论。最近,已经研究了 Sierpinski 网络的性质,如物理化学性质、热力学性质、化学活性、生物活性、度量维数和基于度数的拓扑指数。在本文中,我们进一步扩展了对谢尔宾斯基网络和计算萨格勒布类型分子描述符(分子拓扑指数)及其变体的研究。

更新日期:2020-07-06
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