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通过统计方法对酞菁网络进行分析。

On analysis of phthalocyanine network through statistical method.

作者信息

AlQadi Hadeel, Hanif Muhammad Farhan, Hussain Mazhar, Siddiqui Muhammad Kamran, Chaudhry Faryal, Fiidow Mohamed Abubakar

机构信息

Department of Mathematics, College of Science, Jazan University, P.O. Box 114, 45142, Jazan, Kingdom of Saudi Arabia.

Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.

出版信息

Sci Rep. 2024 Dec 28;14(1):31362. doi: 10.1038/s41598-024-82819-4.

Abstract

Phthalocyanine derivative nanostructures are highly organized organometallic structures that exhibit two-dimensional polymeric phthalocyanine frameworks. We analyze phthalocyanine using the Zagreb-type indices, which offer important insights into the topological characteristics of the molecular structure. Furthermore, we use Pearson correlation analysis to examine the degree of relationship between various structural features and qualities. The significance of [Formula: see text] in materials research and the value of computational techniques in elucidating the chemical's properties and possible uses as demonstrated by this multidimensional examination of the material. We use a Pearson correlation heat map to show the relation between indices and entropy.

摘要

酞菁衍生物纳米结构是高度有序的有机金属结构,呈现二维聚合酞菁骨架。我们使用萨格勒布型指数分析酞菁,该指数能为分子结构的拓扑特征提供重要见解。此外,我们使用皮尔逊相关分析来检验各种结构特征与性质之间的关联程度。通过对该材料的多维研究证明了[公式:见原文]在材料研究中的重要性以及计算技术在阐明该化学品性质和可能用途方面的价值。我们使用皮尔逊相关热图来展示指数与熵之间的关系。

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