On computation of some open and closed neighbourhood degree sum-based topological indices for metal-insulator transition super lattice network

Abstract

The properties and activities of chemical compounds can be explored by computing topological descriptors of molecular compounds. We investigate the topological aspects of the crystal structure of metal-insulator transition superlattice (GST-SL) in this study. Metal-insulator transition superlattices (GST-SL) are useful as two-dimensional (2D) transition metal dichalcogenides (TMDs) in the form of thin films. For this Superlattice Network $$SL_{\eta }$$ , we calculate open and closed neighbourhood degree sum based topological indices. The numerical and graphical representations of computed results are presented. This helps in understanding the relationship between the topological index values and the levels of the $$GST-SL_{\eta }$$ network. We also derive the expressions for entropy of the $$GST-SL_{\eta }$$ network based on four topological indices. The best-fit regression models for entropy against the four topological indices have been derived.