Hex-Derived Molecular Descriptors via Generalized Valency-Based Entropies

Entropy is a thermodynamic function in chemistry that, based on the number of possible configurations for given system or process, measures randomness and disorder molecules that process. Many problems arithmetic, biology, chemical graph theory, organic inorganic chemistry, other disciplines are resolved using distance-based entropy. A topological descriptor also connects certain physical aspects underlying substances, contrast to index, which theory numerical representation network. When building models any network, crucial. Simonraj et al. produced brand-new category graphs known as third kind hex-derived networks. In our work, we discuss class networks, includes networks ( $\mathcal {HDN}_{3}$ ), triangular {THDN}_{3}$ rectangular {RHDN}_{3}$ chain {CHDN}_{3}$ ). We compute exact results newly defined entropies by utilizing their indices end vertex degrees.