Materials development has historically been driven by human needs and desires, and this is
likely to continue in the foreseeable future. The global population is expected to reach ten …

Research has become increasingly more interdisciplinary over the past few years. Artificial
intelligence and its sub-fields have proven valuable for interdisciplinary research …

Let G be a molecular graph. The eccentric connectivity index ξc (G) is defined as ξc (G)=∑
u∈ V (G) degG (u) εG (u), where degG (u) denotes the degree of vertex u and εG (u) is the …

The eccentric connectivity index ξ (G) of a graph G is defined as ξ (G)=∑ u∈ V (G) deg (u) ε
(u), where deg (u) denotes the degree of the vertex u and ε (u) is the largest distance …

Abstract Structure-based topological descriptors/indices of complex chemical networks
enable prediction of physico-chemical properties and the bioactivities of these compounds …

The eccentric connectivity index of a graph G, ξ^ C, was proposed by Sharma, Goswami and
Madan. It is defined as ξ^ C (G)=∑ u∈ V (G) degG (u) εG (u), where degG (u) denotes the …

In this paper, a novel eccentric neighborhood degree-based topological indices, termed
eccentric neighborhood Zagreb indices, have been conceptualized and its discriminating …

Eccentric connectivity index has been found to have a low degeneracy and hence a
significant potential of predicting biological activity of certain classes of chemical …

The ability to derive colored representations of widely employed distance-based topological
indices from chemical reactivity electronegativity and chemical hardness has been …

Let G=(V; E) be a molecular graph, where V (G) is a non-empty set of vertices and E (G) is a
set of edges. Cardinality of the vertex set is said to be order of graph G, denoted by| V (G) …