Investigating entropy of porous graphene using degree based topological indices

Abstract

 In chemical graph theory, topological indices aid in quantifying molecular structure and analyzing the correlation between structures based on physical, chemical, and biological characteristics. In this paper, we have discussed several degree-based entropy measures of the topological indices like first hyper zagreb, second hyper zagreb, reduced second Zagreb, forgotten, harmonic, sombor, arithmetic geometric, reduced reciprocal randic and SS indices for porous graphene. This will be helpful in figuring out how the properties of a particular chemical compound relate to its mathematical attributes. The domains of DNA sequencing, energy storage, and chemical sensors will all benefit from this work.