Open AccessNeighbourhood Degree – Based Topological Indices of Graphene Structure
Author(s) -
Kalyani Desikan
Publication year - 2021
Publication title -
biointerface research in applied chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 11
ISSN - 2069-5837
DOI - 10.33263/briac115.1368113694
Subject(s) - cardinality (data modeling) , topological index , inverse , graphene , neighbourhood (mathematics) , index (typography) , degree (music) , mathematics , matlab , computer science , topology (electrical circuits) , combinatorics , data mining , geometry , physics , nanotechnology , mathematical analysis , materials science , world wide web , acoustics , operating system
The theory of chemical reaction networks is a branch of mathematics that aims to mimic real-world behavior. This research area has drawn many researchers' attention, primarily due to its biological and empirical chemistry applications. The fascinating problems that emerge from the mathematical structures involved have kindled the interest of pure mathematicians. In this paper, we estimate a few topological indices such as SK index, SK1 index, SK2 index, Modified Randić index, and Inverse Sum Index for the Graphene structure based on the neighborhood degree and obtain results based on both sum and products of the cardinality of edge partitions corresponding to 4 different Graphene structures. We also present the 3D representations of the indices using MATLAB.