2022
DOI: 10.1515/mgmc-2022-0012
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On topological polynomials and indices for metal-organic and cuboctahedral bimetallic networks

Abstract: A molecular graph consists of bonds and atoms, where atoms are present as vertices and bonds are present as edges. We can look at topological invariants and topological polynomials that furnish bioactivity and physio-chemical features for such molecular graphs. These topological invariants, which are usually known as graph invariants, are numerical quantities that relate to the topology of a molecular graph. Let m pq (X) be the number of edges in X such… Show more

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Cited by 3 publications
(2 citation statements)
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“…Topological descriptors, which are frequently graph invariants, are numerical numbers that characterize the topology of a chemical graph. A wide range of invariants are explored and applied in theoretical chemistry, pharmaceutical and other fields of science [2,3]. Wiener a chemist in 1947 presented the first topological invariant in order to drive the boiling points of paraffins [4].…”
Section: Introductionmentioning
confidence: 99%
“…Topological descriptors, which are frequently graph invariants, are numerical numbers that characterize the topology of a chemical graph. A wide range of invariants are explored and applied in theoretical chemistry, pharmaceutical and other fields of science [2,3]. Wiener a chemist in 1947 presented the first topological invariant in order to drive the boiling points of paraffins [4].…”
Section: Introductionmentioning
confidence: 99%
“…These descriptors can help estimate the physical and chemical properties of chemical networks. Over the past several decades, numerous topological invariants have been established and studied in chemical literature [38,39], and have been applied to understand various effects of organic materials that depend on their molecular shape. The first topological descriptor was introduced by the chemist Wiener in 1947 to determine the boiling points of paraffin [40].…”
Section: Introductionmentioning
confidence: 99%