Reverse-degree-based topological indices of two-dimensional coronene fractal structures

Abstract

Researchers are still drawn to research the physical molecular and chemical structure of benzenoid hydrocarbons, unsaturated, fully conjugated compounds with hexagonal arrangements that exhibit remarkable features in relation to aromaticity. For chemical graphs in many dimensions, structures, or networks, topological indices or numerical descriptors have been employed for decades to link key physicochemical parameters with crucial molecular structural features including melting, boiling point, enthalpy, and cyclicity. For this work, the inverse degrees of the molecular or chemical structure or graphs being studied are used to calculate the reverse-degree-based topological indices. In molecular graph theory, reverse-degree-based topological descriptors are a relatively new method for analyzing chemical networks and structures. In this study, we suggest a reverse-degree-based topological representation. We computed particular types of descriptors of two-dimensional (2-D) coronene fractal formations with a variety of reverse-degree-based topological indices, such as the reverse-degree-based topological index of the first, second, and hyper Zagreb, forgotten, geometric arithmetic, atom-bond-connectivity, and the Randic index.

QSPR model for bond energy of Y-junction nanotubes through M, NM-polynomials based on reverse, reduced reverse degree and neighborhood degree based topological indices

“…They also find use in graph structure-related optimization issues and provides useful insights for comprehending and modifying network topologies and dynamics. Research [1,15] is going on this topic, many topological indices are defined like reverse general Randic index, the reverse geometric index, the reverse Zagreb type indices, to name a few. Influenced by this, Ravi et al [25] introduced a novel variant of vertex nomenclature, termed the reduced reverse degree of a vertex, which is defined as…”