On Neighborhood Degree-Based Topological Analysis of Polyphenylene Network

Chuang Sun, A. Khalid, H. M. Usman, A. Ahmad, M. K. Siddiqui, S. A. Fufa and Alessandro Lo Schiavo

Mathematical Problems in Engineering, 2022, vol. 2022, 1-14

Abstract: Organic compounds such as polyphenylene are very important and useful for the synthesis of many new organic compounds due to their physio-chemical properties. To ascertain these properties, one can use QSPR/QSAR methods which necessitate the computation of topological indices. The topological indices based on two newly introduced abstract notions of ev-degree and ve-degree are in practice to model numerous chemical properties as well as physical properties of organic, inorganic, hybrid, and biological compounds. In this study, we computed a certain number of topological indices for the chemical graph of polyphenylene network which will help to model some of its physio-chemical properties.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1951226

DOI: 10.1155/2022/1951226

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