Molecular modelling and structural characterisation of three types dominating David derived networks
Abstract
Graphs give a mathematical model of molecules and are used extensively in chemical investigation. Strategically, selections of graph invariants (formerly called “topological indices” (TIs) or “molecular structure descriptors”) are used in the mathematical modelling of the physio-chemical, pharmacologic, toxicological and other aspects of chemical compounds. This paper describes a new technique to compute TIs of three types of indices. Our research examines the mathematical characteristics of molecular structure descriptors, particularly those that depend on graph degrees. We consider three types of dominating David-derived (DDD) networks which are obtained by honeycomb structure. In this work, we obtained some novel reverse-degree TIs for DDD networks.
