In this article, we first find closed forms of M-polynomials of carbon nanocones using Q(G) operator, hexagonal networks and probabilistic neural network. We also reckon closed forms of various degree-based topological indices of these structures. These indices are numerical tendencies that generally interprit quantitative structural activity/property/toxicity relationships and correlate certain physico-chemical properties, such as boiling point, stability, and strain energy, of respective nanomaterial.

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Deepika, T., Lokesha, V., Yasmeen, K. Zeba