2002
DOI: 10.1103/physreve.65.041601
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Statistical substantiation of the van der Waals theory of inhomogeneous fluids

Abstract: Computer experiments on simulation of thermodynamic properties and structural characteristics of a Lennard-Jones fluid in one- and two-phase models have been performed for the purpose of checking the base concepts of the van der Waals theory. Calculations have been performed by the method of molecular dynamics at cutoff radii of the intermolecular potential r(c,1)=2.6sigma and r(c,2)=6.78sigma. The phase equilibrium parameters, surface tension, and density distribution have been determined in a two-phase model… Show more

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Cited by 49 publications
(58 citation statements)
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“…Theoretically, the influence parameter can be computed from its molecular definition (i.e., integration of the direct correlation function of the homogeneous fluid), but the available theories for the two-body direct correlation function between two species in homogeneous fluids are not completely developed, as the results still exhibit poor performance when compared to experimental or molecular dynamics results. [72][73][74][75] 48,53,71,and78 ). Mixtures add another dimension of complexity, whereas the corresponding binary (cross) influence parameter must then be determined, usually in an empirical fashion through simple geometric mixing rules or by fitting to binary experimental data.…”
Section: -21mentioning
confidence: 99%
“…Theoretically, the influence parameter can be computed from its molecular definition (i.e., integration of the direct correlation function of the homogeneous fluid), but the available theories for the two-body direct correlation function between two species in homogeneous fluids are not completely developed, as the results still exhibit poor performance when compared to experimental or molecular dynamics results. [72][73][74][75] 48,53,71,and78 ). Mixtures add another dimension of complexity, whereas the corresponding binary (cross) influence parameter must then be determined, usually in an empirical fashion through simple geometric mixing rules or by fitting to binary experimental data.…”
Section: -21mentioning
confidence: 99%
“…In the case of a plane interface, the excess, surface part of the functional of grand thermodynamic potential Ω s has the form [2,6,8] , (1) , (2) where A is the area of the interface, p is the pressure, µ is the chemical potential, ρ is the number density, and T is the temperature; the subscript s indicates the quantities relating to the equilibrium coexistence of phases. The function ψ takes into account the effect of nonuniform distribution of particles in the system and, in the general case, depends on various derivatives of one-particle density ρ(z) (square of gradient , Laplacian ∆ρ, and so on).…”
Section: Functional Of Thermodynamic Potential Of a Two-phase Systemmentioning
confidence: 99%
“…The influence coefficient κ 1 may be obtained within statistical treatment [4,8], , (4) where c(r) and h(r) denote the direct and complete correlation functions, respectively, or this coefficient κ 1 may be calculated by the experimental data on surface tension on a plane interface [6][7][8].…”
Section: Functional Of Thermodynamic Potential Of a Two-phase Systemmentioning
confidence: 99%
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“…4 Theoretical foundations of the gradient theory and the related statistical physics background are given in the books by Rowlinson and Widom, 5 Davis,6 and Kalikmanov. 7 A recent study of the gradient theory with comparison to molecular simulations was given by Baidakov et al 8 The gradient theory is closely related to the density functional theory, first applied to gas-liquid nucleation by Oxtoby and Evans. 9 Both theories are based on the mean-field approximation.…”
Section: Introductionmentioning
confidence: 99%