Topological indices and patterns in iron telluride networks.

Autor: Yang H; School of Computer Science, Chengdu University, Chengdu, China., Hanif MF; Department of Mathematics and Statistics, The University of Lahore, Lahore Campus, Lahore, Pakistan., Siddiqui MK; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Hanif MF; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Ahmed H; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Fufa SA; Department of Mathematics, Addis Ababa University, Addis Ababa, Ethiopia. samuel.asefa@aau.edu.et.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Jun 21; Vol. 14 (1), pp. 14297. Date of Electronic Publication: 2024 Jun 21.
DOI: 10.1038/s41598-024-65205-y
Abstrakt: This paper explores the complex interplay between topological indices and structural patterns in networks of iron telluride (FeTe). We want to analyses and characterize the distinct topological features of (FeTe) by utilizing an extensive set of topological indices. We investigate the relationship that these indicators have with the network's physical characteristics by employing sophisticated statistical techniques and curve fitting models. Our results show important trends that contribute to our knowledge of the architecture of the (FeTe) network and shed light on its physiochemical properties. This study advances the area of material science by providing a solid foundation for using topological indices to predict and analyses the behavior of intricate network systems. More preciously, we study the topological indices of iron telluride networks, an artificial substance widely used with unique properties due to its crystal structure. We construct a series of topological indices for iron telluride networks with exact mathematical analysis and determine their distributions and correlations using statistical methods. Our results reveal significant patterns and trends in the network structure when the number of constituent atoms increases. These results shed new light on the fundamental factors that influence material behavior, thus offering a deeper understanding of the iron telluride network and may contribute to future research and engineering of these materials.
(© 2024. The Author(s).)
Databáze: MEDLINE
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