Hydrogen
is a promising component for a more sustainable world,
but its wide application depends upon the development of new technologies
and processes. Therefore, a reliable set of thermodynamic properties
is of paramount importance. Statistical mechanics provides the necessary
tools to build very accurate molecular-based models for a given interaction
potential. Statistical associating fluid theory (SAFT) entails a family
of such models. From such molecular-based equations of state, new
coarse-grained force fields can be derived for molecular simulations.
In this work, we applied the SAFT-γ Mie force field to generate
extensive data for derivative properties of supercritical hydrogen–ethylene
mixtures at 300 K, comparing the results with the SAFT-VR Mie equation
of state.