Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15676
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dc.contributor.authorShanmukha, M C-
dc.contributor.authorUsha, A-
dc.contributor.authorKulli, V R-
dc.contributor.authorShilpa, K C-
dc.date.accessioned2024-05-29T08:53:01Z-
dc.date.available2024-05-29T08:53:01Z-
dc.date.issued2024-
dc.identifier.citationVol. 124, No. 9en_US
dc.identifier.issn0020-7608-
dc.identifier.urihttp://dx.doi.org/10.1002/qua.27376-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15676-
dc.description.abstractChemical graph theory facilitates different tools that have significant applications in drug design and development. Recently Gutman et al., introduced a novel vertex-degree-based topological index called elliptic Sombor index and its application through geometric approach. This article focuses on chemical applicability of elliptic Sombor index through regression models using 22 benzenoid hydrocarbons. In this process, the chemical applicability of elliptic Sombor index with various physicochemical properties of benzenoid hydrocarbons through curvilinear regression models is carried out. The data of the statistical analysis shows that elliptic Sombor index is potential predictive index for the property polarizability. © 2024 Wiley Periodicals LLC.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Quantum Chemistryen_US
dc.publisherJohn Wiley and Sons Incen_US
dc.subjectBenzenoid Hydrocarbonsen_US
dc.subjectElliptic Sombor Indexen_US
dc.subjectPhysicochemical Propertiesen_US
dc.subjectRegression Modelsen_US
dc.subjectTopological Descriptorsen_US
dc.titleChemical Applicability and Curvilinear Regression Models of Vertex-Degree-Based Topological Index: Elliptic Sombor Indexen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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