The Uhlenbeck-Ford model: Exact virial coefficients and application as a reference system in fluid-phase free-energy calculations
arXiv:2204.06744 · doi:10.1063/1.4967775
Abstract
The Uhlenbeck-Ford (UF) model was originally proposed for the theoretical study of imperfect gases, given that all its virial coefficients can be evaluated exactly, in principle. Here, in addition to computing the previously unknown coefficients B11 through B13, we assess its applicability as a reference system in fluid-phase free-energy calculations using molecular simulation techniques. Our results demonstrate that, although the UF model itself is too soft, appropriately scaled Uhlenbeck- Ford (sUF) models provide robust reference systems that allow accurate fluid-phase free-energy calculations without the need for an intermediate reference model. Indeed, in addition to the accuracy with which their free energies are known and their convenient scaling properties, the fluid is the only thermodynamically stable phase for a wide range of sUF models. This set of favorable properties may potentially put the sUF fluid-phase reference systems on par with the standard role that harmonic and Einstein solids play as reference systems for solid-phase free-energy calculations.
References in corpus (8)
- Nonequilibrium free-energy calculation of solids using LAMMPS
- Ninth and Tenth Order Virial Coefficients for Hard Spheres in D Dimensions
- Phase diagram of the Gaussian-core model
- Phase diagram of softly repulsive systems: The Gaussian and inverse-power-law potentials
- On the determination of phase boundaries via thermodynamic integration across coexistence regions
- Virial expansion and condensation with a new generating function
- A computational study of the configurational and vibrational contributions to the thermodynamics of substitutional alloys: the Ni3Al case
- Estimation of critical exponents from the cluster coefficients: Application to hard spheres
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- Nonequilibrium free energy methods applied to magnetic systems: the degenerate Ising model
- Incorporating Gibbs free energy into interatomic potential fitting
- Nonequilibrium Processes in Repulsive Binary Mixtures
- Computing ternary liquid phase diagrams: Fe-Cu-Ni