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利用对数回归模型对氟化铜的熵度量进行特征描述。

On characterization of entropy measure using logarithmic regression model for Copper(II) Fluoride.

机构信息

Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Pakistan.

Department of Mathematics, Dambi Dollo University, Oromia, Ethiopia.

出版信息

PLoS One. 2024 Mar 26;19(3):e0300757. doi: 10.1371/journal.pone.0300757. eCollection 2024.

DOI:10.1371/journal.pone.0300757
PMID:38530820
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10965071/
Abstract

The versatile uses of Copper(II) Fluoride (CuF2) are well known; these include its usage as a precursor in chemical synthesis as well as its contribution to the creation of sophisticated materials and electronics. There are interesting opportunities to study the interactions between these elements because of their unique crystal structure, which contains copper ions and fluoride anions. Its potential in optoelectronic devices and conductive qualities also make it a viable material for next-generation technologies. To better understand the structural properties of CuF2 and how they affect its entropy, we present new Zagreb indices in this study and use them to calculate entropy measures. We also build a regression model to clarify the relationship between the calculated indices and entropy levels. The findings of our investigation offer significant understanding regarding the ability of the suggested Zagreb indices to extract meaningful content and their correlation with entropy in the context of CuF2. This information is important for understanding CuF2 alloys and for exploring related complex materials.

摘要

二氟化铜（CuF2）的用途多样，众所周知；包括在化学合成中用作前体，以及对复杂材料和电子设备的贡献。由于其独特的晶体结构，包含铜离子和氟离子，因此有研究这些元素相互作用的有趣机会。它在光电设备和导电性能方面的潜力也使其成为下一代技术的一种可行材料。为了更好地了解 CuF2 的结构特性以及它们如何影响其熵，我们在这项研究中提出了新的萨格勒布指数，并使用它们来计算熵度量。我们还构建了一个回归模型，以阐明计算出的指数与熵水平之间的关系。我们的研究结果提供了关于建议的萨格勒布指数在提取有意义内容方面的能力以及它们与 CuF2 熵之间的相关性的重要理解。这些信息对于理解 CuF2 合金以及探索相关复杂材料非常重要。

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