Thermo-statistical description of gas mixtures from space partitions
R. D. Rohrmann, J. Zorec

TL;DR
This paper extends a free energy-based mathematical framework to multi-component gas mixtures, providing analytical thermodynamic and structural properties in the low-density limit through space partitioning and statistical geometry.
Contribution
It introduces a novel formalism combining free-energy minimization with space partitions for complex fluids, deriving new thermodynamic variables and identities.
Findings
Analytical thermodynamic functions for hard sphere mixtures.
Agreement with scaled-particle theory and Percus-Yevick approximation at low density.
Derived chemical equilibrium conditions for multi-component systems.
Abstract
The new mathematical framework based on the free energy of pure classical fluids presented in [R. D. Rohrmann, Physica A 347, 221 (2005)] is extended to multi-component systems to determine thermodynamic and structural properties of chemically complex fluids. Presently, the theory focuses on -dimensional mixtures in the low-density limit (packing factor ). The formalism combines the free-energy minimization technique with space partitions that assign an available volume to each particle. is related to the closeness of the nearest neighbor and provides an useful tool to evaluate the perturbations experimented by particles in a fluid. The theory shows a close relationship between statistical geometry and statistical mechanics. New, unconventional thermodynamic variables and mathematical identities are derived as a result of the space division. Thermodynamic…
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