A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure

Abstract

The computational technique called the cut method is used to predict the natural behaviors among the chemical network's physicochemical characteristics, known as topological indices. Distance-based indices are used to describe the physical density of chemical networks. In this paper, we have done analytical computation results for the vertex-distance-based and vertex-degree-based indices for boric acid hydrogen-bonded 2D lattice sheet. Boric acid is an inorganic compound with low toxicity when applied to the skin or eaten. A graphical representation is used to explain a thorough comparison of the computed topological indices of hydrogen-bonded 2D lattice sheets of boric acid.