Work

On Neighborhood Degree-Based Topological Analysis of Polyphenylene Network

Year: 2022
Type: article
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.
Language: English
Open Access status: hybrid
Estimated APC paid: $2,550
OpenAlex ID: W4212763587
FWCI: 1.944
Cites: 23
Cited by: 7
Related to: 10