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基于多重分形的钙钛矿晶体拓扑表征及其物理性质的预测分析。

Multifractal based topological characterization of perovskite crystal and predictive analysis on its physical properties.

作者信息

Yogalakshmi K, Easwaramoorthy D

机构信息

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

出版信息

Front Chem. 2025 Aug 4;13:1639522. doi: 10.3389/fchem.2025.1639522. eCollection 2025.

Abstract

Perovskite material has gained popularity and attracted much attention in recent years. Calcium Titanium Oxide is a perovskite crystal structure, which has the molecular formula , widely employed in geosciences, electronic ceramic materials, and radioactive waste immobilization. The powerful mathematical tool called topological descriptors or index is used to analyze perovskite. It provides a numerical representation of certain physical and chemical features on the crystal structure. Additionally, topological indices are frequently used by chemical scientists to determine the strain energy, melting and boiling points, distortion, and stability of chemical substances. In this paper, the topological indices are derived from the M-polynomial for perovskite crystal structure depends on reverse degree using the edge partitioning technique and the behavior of this crystal structure is presented as numerically derived equations and topological descriptors. The Generalized Fractal Dimensions (GFD) are calculated using Renyi entropy based on the equations of the reverse degree dependent indices derived from the M-polynomial, which are compared graphically and tabularly with respect to given indices. Furthermore, the molecular mass and collision diameter physical properties of the crystal structure are analyzed and correlated with the generalized fractal dimensions derived from topological indices, leading to the development of a predictive correlation model explaining the highest and lowest correlation coefficient values of each index defined in this phenomenon. Therefore, GFD aids to understand how the fractal nature, connectivity, and branching of the crystal affect its properties in the growth pattern of the crystal structure.

摘要

近年来,钙钛矿材料受到广泛关注并备受瞩目。氧化钙钛矿具有钙钛矿晶体结构,其分子式为 ,广泛应用于地球科学、电子陶瓷材料和放射性废物固化领域。一种名为拓扑描述符或指数的强大数学工具被用于分析钙钛矿。它为晶体结构上的某些物理和化学特征提供了数值表示。此外,化学科学家经常使用拓扑指数来确定化学物质的应变能、熔点和沸点、畸变以及稳定性。在本文中,通过边划分技术从依赖于逆度的M - 多项式中导出拓扑指数,用于钙钛矿晶体结构,并将该晶体结构的行为表示为数值推导方程和拓扑描述符。基于从M - 多项式导出的依赖于逆度的指数方程,使用Renyi熵计算广义分形维数(GFD),并将其与给定指数进行图形和表格比较。此外,分析了该晶体结构的分子量和碰撞直径等物理性质,并将其与从拓扑指数导出的广义分形维数相关联,从而建立了一个预测相关模型,解释了该现象中定义的每个指数的最高和最低相关系数值。因此,GFD有助于理解晶体的分形性质、连通性和分支如何在晶体结构的生长模式中影响其性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a17/12359057/179c6c219290/fchem-13-1639522-g001.jpg

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