Molecular Characterization of Three Classes of Bow-Tie-Shaped Graphene Nanoflakes by Polynomials as Alternative for Their Computed Energies and Spectral Patterns.

Graphene has been recognized as one of the most promising materials for nanoelectronics in recent decades. Despite its excellent mechanical and electrical characteristics, its use in the fabrication of genuine nanoelectronic devices is frequently fraught with challenges. A graphene nanoflake is graphene with a finite size. It can be prepared in a bottom-up or top-down manner. While it has qualities similar to those of graphene, it may be manufactured in a variety of sizes and shapes. A topological index is a numerical value that shows some valuable information about molecular structure, shape, and investigation. It refers to a molecular graph's numerical invariants, which can correlate bioactivity and physio-chemical properties. Researchers have discovered topological indices to be an effective and valuable tool in describing molecular structure throughout time. In this study, we compute such topological indices of bow-tie-shaped graphene nanoflakes.