On Computation of Topological Descriptors for Symmetrically Configured Pentagonal Structure of Carbon Nanocones

Nanoparticles have unique and dazzling properties that have potential applications in material science, electronics, medicine and many other fields. Carbon nanocones, also known as carbon nanohorns are carbon networks which are planar in structure and has majority of hexagonal faces along with some non-hexagonal faces, which are most commonly pentagons. Depending on the positioning of the pentagons in the structure, symmetrically and asymmetrically configured nanocones are obtained. Carbon nanocones are good replacement for carbon nanotubes and have also secured their place in fields such as electrochemical sensing or biosensing, biofuel cells, as electrode materials, supercapacitors, gas storage devices and biomedical applications. In this work, the reverse degree based topological descriptors as well as temperature descriptors for symmetrically configured pentagonal carbon nanocones were determined using the edge partition approach. The numerical and graphical comparison based on the determined analytical expressions was drawn. A comparison study in between the descriptors was also carried out.