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Topological descriptors are non-empirical numerical quantities that describe molecular structures. These descriptors are fundamental to the QSAR/QSPR techniques that lay the groundwork for theoretical chemists to study and synthesize chemical structures. Entropic network measures are a class of topological descriptors with applications that range from quantitative characterization of a molecular structure to the study of certain chemical properties of molecular graphs. This paper focusses on computing analytical expressions of degree-based entropy measures for three prominent classes of polycyclic aromatic hydrocarbons with a coronene molecule at their center. The intriguing properties of these classes of compounds and their widespread availability warrant a study of their nature and properties from a structural standpoint. The numerical values of the entropy measures computed in this paper also provide an insight into the relationship between the entropy measures and the molecular structure.

Structural Analysis of Three Types of PAHs using Entropy Measures