on ‎nirmala ‎indices-based ‎entropy measures of ‎silicon ‎carbide network

‎topological indices are numerical parameters for understanding the fundamental topology of chemical structures that correlate with the quantitative structure-property relationship (qspr)‎ / ‎quantitative structure-activity relationship (qsar) of chemical compounds‎. ‎the m-polynomial is a modern mathematical approach to finding the degree-based topological indices of molecular graphs‎.‎several graph assets have been employed to discriminate the construction of entropy measures from the molecular graph of a chemical compound‎. ‎graph entropies have evolved as information-theoretic tools to investigate the structural information of a molecular graph‎. ‎the possible applications of graph entropy measures in chemistry‎, ‎biology and discrete mathematics have drawn the attention of researchers‎. ‎in this research work‎, ‎we compute the nirmala index‎, ‎first and second inverse nirmala index for silicon carbide network $si_{2}c_{3}textit{-i}[p,q]$ with the help of its m-polynomial‎. ‎further‎, ‎we introduce the concept of nirmala indices-based entropy measure and enumerate them for the above-said network‎. ‎additionally‎, ‎the comparison and correlation between the nirmala indices and their associated entropy measures are presented through numerical computation and graphical approaches‎. ‎following that‎, ‎curve fitting and correlation analysis are performed to investigate the relationship between the nirmala indices and corresponding entropy measures.