Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models

Autor: Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Druh dokumentu: article
ISSN: 08839514
1087-6545
0883-9514
DOI: 10.1080/08839514.2024.2327235
Popis: One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indices relevant to the characterization of copper(II) fluoride is presented in this paper. Our goal is to use the well-understood structural features of copper(II) fluoride, a chemical that is well known for its crystalline qualities, to uncover a variety of properties inherent in its network. This work makes use of the structural information available for copper(II) fluoride. After a thorough computational investigation, a rigorous statistical analysis is conducted to determine the distributions and correlations between heat of formation and the different topological indices. The findings reveal significant patterns and trends in the copper(II) fluoride network structure, providing insights into the underlying principles governing its material behavior.
Databáze: Directory of Open Access Journals
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