Predicting adsorbate entropy is an essential prerequisite
for surface
science, heterogeneous catalysis, and microkinetic modeling. The linear
correlation between adsorbate and gas-phase entropy has been widely
found in various experiments, and it is considered as a simple and
effective method to predict adsorbate entropy. In this work, the two-dimensional
(2D) ideal gas model was used to calculate adsorbate entropy with
the statistical thermodynamic method. The rotational entropy was obtained
by solving the Schrodinger equation for a two-dimensional rotator.
Combining the translational and vibrational entropy, an extended reversible
adiabatic equation for 2D ideal gas can be derived, which is identical
in form to the three-dimensional (3D) equation. Then the linear correlation
between the 2D and 3D entropy can be proved theoretically, and the
slope of this linear correlation is the heat capacity ratio. According
to the characteristics of vibrational contribution to the heat capacity,
the temperature is divided into three ranges, each of which has its
own linear correlation. From the statistical thermodynamic computation
data of benzene, perfect linear correlations can be fitted, and each
slope is much close to the predicted value from our derived equation.
The widely used Campbell–Sellers correlation matches our correlation
in the low temperature range. We predict that there may be another
linear correlation for different molecules in the medium temperature
range, which is more appropriate in most heterogeneous catalytic reactions.