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Prediction of properties of boron [Formula: see text]-icosahedral nanosheet by bond-addictive [Formula: see text]-polynomial.
Xavier, D Antony; Julietraja, K; Alsinai, Ammar; Akhila, S.
Afiliação
  • Xavier DA; Department of Mathematics, Loyola College (Affiliated to the University of Madras), Chennai, India.
  • Julietraja K; Department of Mathematics, School of Engineering, Presidency University, Bengaluru, 560064, India.
  • Alsinai A; Department of Mathematics, Ibb university, Ibb, Yemen. aliiammar1985@gmail.com.
  • Akhila S; Department of Mathematics, Kuvempu University, Shivamogga, Karnataka, 577451, India. aliiammar1985@gmail.com.
Sci Rep ; 14(1): 1197, 2024 Jan 12.
Article em En | MEDLINE | ID: mdl-38216625
ABSTRACT
Nanosheets with boron elements have excellent characteristics which makes the boron polymorphs unique and super hard. A boron [Formula see text]-icosahedral nanosheet in crystalline form has superconductivity and thermal electronic properties. In theoretical chemistry and QSPR/QSAR study, a topological descriptor is an important analytical tool. It helps to analyse the structure and its properties and also correlates the with numerical expressions. The valence-based M-polynomial provides quantitative measures of molecular properties based on their geometric, electrostatic, and quantum chemical characteristics. In this article, the QSPR/QSAR analysis is performed for this nanosheet and the analytical expressions are validated with original synthesized data, and received excellent correlation values of 0.9835 and 0.9932. The mathematical expression of the structure is analysed and the indices are compared graphically and numerically.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia País de publicação: Reino Unido