On analysis of silicon dioxide based on topological indices and entropy measure via regression model

Abstract

Abstract The construction sector accounts for around 95% of the commercial usage of silicon dioxide (sand), for example, in the making of concrete. There are several uses for quartz, however in order to get a purer material, chemical processing is needed. Graph theory proved to be very beneficial for other research, especially in the applied sciences. In particular, graph theory has greatly influenced the field of chemistry. To do this, a transformation is needed to produce a graph with the vertices representing the atoms in the chemical compound and the edges indicating the bonds between the atoms. This graph then represents a chemical network or structure. In a graph, a vertex’s valency (or degree) is determined by the number of edges that are incident to it. The entropy of a probability quantifies a system’s level of uncertainty. In this article, we compute Zagreb-type indices and then compute the entropy measure. In order to evaluate the relevance of each kind, this article builds several edge degree-based entropies that link to the indices and establish how to adjust them. We also create the logarithmic regression model between indices and entropy.

Keywords

• Degree of a vertex
• Chemical graph theory
• Topological indices
• Entropy measure
• Logarithmic regression model
• Silicon dioxide $$(SiO_{2})$$ ( S i O 2 )