On k-distance degree based topological indices of benzenoid systems
Sohan Lal, Karnika Sharma, Vijay Kumar Bhat

TL;DR
This paper introduces new k-distance degree-based topological indices for benzenoid systems and computes their values to analyze physiochemical properties of molecular graphs.
Contribution
It develops and calculates novel k-distance degree-based topological indices for specific benzenoid systems, expanding the tools for molecular property prediction.
Findings
New indices like leap-Somber and hyper leap forgotten index are defined and computed.
Numerical analysis links indices to physiochemical properties.
Results enhance understanding of molecular structure-property relationships.
Abstract
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 and a rhombic benzenoid system are determined. In addition, new -distance degree-based topological indices such as leap-Somber index, hyper leap forgotten index, leap index, and leap coindex are also computed for the molecular graphs of and . Furthermore, their numerical computation and discussion are…
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Taxonomy
TopicsGraph theory and applications · Computational Drug Discovery Methods · Free Radicals and Antioxidants
