Open AccessDakshayani Indices on Carbon and Boron Nitride Nanotubes
Publication year - 2020
Publication title -
letters in applied nanobioscience
Language(s) - English
Resource type - Journals
ISSN - 2284-6808
DOI - 10.33263/lianbs94.16801686
Subject(s) - carbon nanotube , boron nitride , topological index , materials science , nanotechnology , graph theory , quantitative structure–activity relationship , computational chemistry , mathematics , computer science , chemistry , combinatorics , machine learning
Chemical graph theory is a discipline of graph theory deals with the study of chemical compounds using simple connected graphs. In computational chemistry, the properties of chemical compounds are determined using a numerical value called the topological index. Topological indices are widely applicable in QSAR and QSPR modeling. In this proposed work, we have used topological index like Neighborhood Dakshayani index on nanostructures called Carbon nanotube and Boron nitride nanotubes. Carbon nanotube has its various applications in air and water filtration, field emission, and biomedical applications. Boron nitride nanotubes are used in aerospace to automotive and defense to biomedical.