A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure

[Image: see text] The computational technique called the cut method is used to predict the natural behaviors among the chemical network’s physicochemical characteristics, known as topological indices. Distance-based indices are used to describe the physical density of chemical networks. In this pape...

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Autores principales: Jeyaraj, Sahaya Vijay, Santiago, Roy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308567/
https://www.ncbi.nlm.nih.gov/pubmed/37396267
http://dx.doi.org/10.1021/acsomega.3c02477
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author Jeyaraj, Sahaya Vijay
Santiago, Roy
author_facet Jeyaraj, Sahaya Vijay
Santiago, Roy
author_sort Jeyaraj, Sahaya Vijay
collection PubMed
description [Image: see text] The computational technique called the cut method is used to predict the natural behaviors among the chemical network’s physicochemical characteristics, known as topological indices. Distance-based indices are used to describe the physical density of chemical networks. In this paper, we have done analytical computation results for the vertex-distance-based and vertex-degree-based indices for boric acid hydrogen-bonded 2D lattice sheet. Boric acid is an inorganic compound with low toxicity when applied to the skin or eaten. A graphical representation is used to explain a thorough comparison of the computed topological indices of hydrogen-bonded 2D lattice sheets of boric acid.
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spelling pubmed-103085672023-06-30 A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure Jeyaraj, Sahaya Vijay Santiago, Roy ACS Omega [Image: see text] The computational technique called the cut method is used to predict the natural behaviors among the chemical network’s physicochemical characteristics, known as topological indices. Distance-based indices are used to describe the physical density of chemical networks. In this paper, we have done analytical computation results for the vertex-distance-based and vertex-degree-based indices for boric acid hydrogen-bonded 2D lattice sheet. Boric acid is an inorganic compound with low toxicity when applied to the skin or eaten. A graphical representation is used to explain a thorough comparison of the computed topological indices of hydrogen-bonded 2D lattice sheets of boric acid. American Chemical Society 2023-06-09 /pmc/articles/PMC10308567/ /pubmed/37396267 http://dx.doi.org/10.1021/acsomega.3c02477 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Jeyaraj, Sahaya Vijay
Santiago, Roy
A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure
title A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure
title_full A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure
title_fullStr A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure
title_full_unstemmed A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure
title_short A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure
title_sort study on efficient technique for generating vertex-based topological characterization of boric acid 2d structure
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308567/
https://www.ncbi.nlm.nih.gov/pubmed/37396267
http://dx.doi.org/10.1021/acsomega.3c02477
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