On computation of degree based entropy measures for terpyridine complex nanosheet

Abstract

AbstractOn comparing the various approaches in determining entropy measures, Shannon's strategy plays a significant role in computing information entropy, as it involves the analysis and quantification of the data's information transmission and complexity in diverse fields of science. By considering the essentiality of information‐theoretic entropy and its future implications for physicochemical and biological aspects, this manuscript focuses on investigating a standard variant of Shannon's approach for computing entropy measures using certain degree‐based topological indices for a particular Terpyridine Complex () structure namely, Terpyridine Complex Nanosheet (). In addition, from the computational analysis of entropy measures, compared to other entropies, the entropies measured using Zagreb and hyper‐Zagreb indices exhibit a higher level of significance, which has potential applications in QSPR and QSAR analysis.