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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

A topological index is a numerical parameter that is derived mathematically from a graph structure. In chemical graph theory, these indices are used to quantify the chemical properties of chemical compounds. We compute the first and second temperature, hyper temperature indices, the sum connectivity temperature index, the product connectivity temperature index, the reciprocal product connectivity temperature index and the F temperature index of a molecular graph silicate network and silicate chain network. Furthermore, a QSPR study of the key topological indices is provided, and it is demonstrated that these topological indices are substantially linked with the physicochemical features of COVID-19 medicines. This theoretical method to find the temperature indices may help chemists and others in the pharmaceutical industry forecast the properties of silicate networks and silicate chain networks before trying.

Details

Title
Connecting SiO4 in Silicate and Silicate Chain Networks to Compute Kulli Temperature Indices
Author
Ying-Fang, Zhang 1   VIAFID ORCID Logo  ; Ghani, Muhammad Usman 2   VIAFID ORCID Logo  ; Sultan, Faisal 2 ; Inc, Mustafa 3   VIAFID ORCID Logo  ; Cancan, Murat 4   VIAFID ORCID Logo 

 School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454000, China 
 Institute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, Rahim Yar Khan 64200, Pakistan 
 Department of Mathematics, Firat University, 23119 Elazig, Turkey; Department of Medical Research, China Medical University, Taichung 40402, Taiwan 
 Faculty of Education, Yuzuncu Yil University, 65080 Van, Turkey 
First page
7533
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
14203049
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2734706972
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.