论文标题
基于k-distance程度的苯苯二甲酸系统拓扑指数
On k-distance degree based topological indices of benzenoid systems
论文作者
论文摘要
拓扑指数是图形数量量，研究人员将其用于分析分子的各种生理化学方面。开发拓扑指数的目的是使每个化学结构具有数值，同时保持最高水平的分化水平。使用这些指标，可以预测各种结构的分类及其生理和生物学特性。在本文中，LEAP和LEAP Hyper Zagreb索引及其多项式用于曲折的苯苯二甲酸苯乙烯系统$ z_ {p} $和菱形苯苯二酚系统$ r_ {p} $。此外，还针对$ z_p $和$ r_p $的分子图还计算了新的$ k $ distance学位指数，例如Leap-omber Index，Hyper Leap遗忘指数，Leap $ y $ $ $ $ $ $ $ $ $ $索引和Leap $ y $ coindex。此外，进行数值计算和讨论以确定其理化特性的重要性。
Topological indices are graph invariants numeric quantities, which are utilized by researchers to analyze a variety of physiochemical aspects of molecules. The goal of developing topological indices is to give each chemical structure a numerical value while maintaining the highest level of differentiation. Using these indices, the classification of various structures, and their physiochemical and biological properties can be predicted. In this paper, the leap and leap hyper Zagreb indices, as well as their polynomials for a zigzag benzenoid system $Z_{p}$ and a rhombic benzenoid system $R_{p}$ are determined. In addition, new $k$-distance degree-based topological indices such as leap-Somber index, hyper leap forgotten index, leap $Y$ index, and leap $Y$ coindex are also computed for the molecular graphs of $Z_p$ and $R_p$. Furthermore, their numerical computation and discussion are performed to determine the significance of their physiochemical properties.
