Youssef Maged Z, Al-Dayel Ibrahim, Hanif Muhammad Farhan, Siddiqui Muhammad Kamran, Ahmed Hira, Tolasa Fikadu Tesgera
Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 65892, 11566, Riyadh, Saudi Arabia.
Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Sci Rep. 2024 Sep 4;14(1):20533. doi: 10.1038/s41598-024-71645-3.
In the context of graph theory and chemical graph theory, this research conducts a detailed mathematical investigation of reverse topological indices as they relate to iron telluride networks, clarifying their complex interactions. Graph theory is a branch of abstract mathematics that carefully studies the connections and structural features of graphs made up of edges and vertices. These theoretical ideas are expanded upon in chemical graph theory, which models molecular architectures with atoms acting as vertices and chemical bonds as edges. By extending these concepts, this work investigates the reverse topological indices in the context of Iron Telluride networks and outlines their significant effects on chemical reactivity, molecular topology and statistical modeling. By navigating intricate mathematical formalisms and algorithmic approaches, the analysis provides profound insights into the reactivity patterns and structural dynamics of Iron Telluride compounds, enhancing our knowledge of solid-state chemistry and materials science.
在图论和化学图论的背景下，本研究对与碲化铁网络相关的反向拓扑指数进行了详细的数学研究，阐明了它们之间复杂的相互作用。图论是抽象数学的一个分支，它仔细研究由边和顶点组成的图的连接和结构特征。这些理论概念在化学图论中得到了扩展，化学图论将分子结构建模为以原子为顶点、化学键为边。通过扩展这些概念，本研究在碲化铁网络的背景下研究了反向拓扑指数，并概述了它们对化学反应性、分子拓扑和统计建模的重大影响。通过运用复杂的数学形式和算法方法，该分析为碲化铁化合物的反应模式和结构动力学提供了深刻见解，增进了我们对固态化学和材料科学的认识。
