On neighborhood and degree based Symmetric Division deg index for some Silicate and Oxide Networks
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Abstract
In computational chemistry, numbers programming certain structural skin appearance of natural molecules and derivative from the parallel molecular graph are called the graph invariants or more frequently topological indices. Topological indices are numeric quantity that are derived from a molecular graph by mathematical calculations. In QSAR and QSPR study, topological indices are utilized to guess the bioactivity of chemical compounds. The Symmetric Division deg (SDD) is good estimate of total surface area for polychlorobiphenlys. In this paper we process the Symmetric Division deg index for Silicate, Oxide and Copper(II) Oxide network. We compare above network of Symmetric division deg index based on degree and neighbhourhood.
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