A perturbation expupansion for the radial distribution function of fluids with nonsphericzJ pair potentials is discussed. Numerical calculations are presented for dipolar hard-sphere and quadrupolar hard-sphere fluids. Agreement with the computer simulation results is excellent, even at high dipole
Calculation of the entropy and the chemical potential of fluids and solids from the radial free-space distribution function
โ Scribed by Byoung Jip Yoon; Seung Do Hong; Mu Shik Jhon; Harold A. Scheraga
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 427 KB
- Volume
- 181
- Category
- Article
- ISSN
- 0009-2614
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โฆ Synopsis
A method for calculating the entropy and the chemical potential of fluids and solids from the radial free-space distribution function (RFSDF) is proposed. The free volume is obtained from the RFSDF by eliminating the arbitrary definition ofa cell and the imposition of a cut-off distance that were used in the theory of the previous paper. The RFSDF has a constant value (defined here as y,) at distances larger than the radius of the cell; ym is calculated by averaging the RFSDFs at these larger distances. This new method overcomes the usual difficulties appearing in the calculation of the free energy. and leads to results that are comparable to those obtained by other methods.
๐ SIMILAR VOLUMES
The radial free space distribution function (RFSDF) has been defined and calculated for the hard-sphere fluid and solid. Fittings for the RFSDF of the hard-sphere fluid and solid are presented and analytical expressions for RFSDF are also presented. From the analysis of RFSDFs, the solid and fluid p
## Abstract Equations for the average energy of chemically activated species are developed, and uncertainties in the various energy quantities involved are discussed. Various approaches to the energy distribution function of chemically activated species are discussed. Trial calculations on methylcy
## Abstract The commonly used simulation techniques, Metropolis Monte Carlo (MC) and molecular dynamics (MD) are of a dynamical type which enables one to sample system configurations __i__ correctly with the Boltzmann probability, __P__, while the __value__ of __P__ is not provided directly; theref