Abstract
Entropy is a measure of a system’s molecular disorder or unpredictability since work is produced by organized molecular motion. Shannon’s entropy metric is applied to represent a random graph’s variability. Entropy is a thermodynamic function in physics that, based on the variety of possible configurations for molecules to take, describes the randomness and disorder of molecules in a given system or process. Numerous issues in the fields of mathematics, biology, chemical graph theory, organic and inorganic chemistry, and other disciplines are resolved using distance-based entropy. These applications cover quantifying molecules’ chemical and electrical structures, signal processing, structural investigations on crystals, and molecular ensembles. In this paper, we look at
K
-Banhatti entropies using
K
-Banhatti indices for
C
6
H
6
embedded in different chemical networks. Our goal is to investigate the valency-based molecular invariants and
K
-Banhatti entropies for three chemical networks: the circumnaphthalene (
C
N
B
n
), the honeycomb (
H
B
n
), and the pyrene (
P
Y
n
). In order to reach conclusions, we apply the method of atom-bond partitioning based on valences, which is an application of spectral graph theory. We obtain the precise values of the first
K
-Banhatti entropy, the second
K
-Banhatti entropy, the first hyper
K
-Banhatti entropy, and the second hyper
K
-Banhatti entropy for the three chemical networks in the main results and conclusion.