@Article{cmes.2023.027254,
AUTHOR = {M. C. Shanmukha, Sokjoon Lee, A. Usha, K. C. Shilpa, Muhammad Azeem},
TITLE = {Degree-Based Entropy Descriptors of Graphenylene Using Topological Indices},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {137},
YEAR = {2023},
NUMBER = {1},
PAGES = {939--964},
URL = {http://www.techscience.com/CMES/v137n1/52329},
ISSN = {1526-1506},
ABSTRACT = {Graph theory plays a significant role in the applications of chemistry, pharmacy, communication, maps, and
aeronautical fields. The molecules of chemical compounds are modelled as a graph to study the properties of the
compounds. The geometric structure of the compound relates to a few physical properties such as boiling point,
enthalpy, π-electron energy, molecular weight. The article aims to determine the practical application of graph
theory by solving one of the interdisciplinary problems describing the structures of benzenoid hydrocarbons and
graphenylene. The topological index is an invariant of a molecular graph associated with the chemical structure,
which shows the correlation of chemical structures using many physical, chemical properties and biological
activities. This study aims to introduce some novel degree-based entropy descriptors such as <i>ENT<sub>SO</sub></i>, <i>ENT<sub>GH</sub></i>,
<i>ENT<sub>HG</sub></i>, <i>ENT<sub>SS</sub></i>, <i>ENT<sub>NSO</sub></i>, <i>ENT<sub>NReZ<sub>1</sub></sub></i>
, <i>ENT<sub>NReZ<sub>2</sub></sub></i> and <i>ENT<sub>NSS</sub></i> using the respective topological indices. Also, the
above-mentioned entropy measures and physico-chemical properties of benzenoid hydrocarbons are fitted using
linear regression models and calculated for graphenylene structure.},
DOI = {10.32604/cmes.2023.027254}
}