1987
DOI: 10.1063/1.453158
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On the role of density fluctuations in the entropy of a fluid

Abstract: The phase-space region occupied by a dense fluid is characterized by significant multiparticle correlations, and by small density fluctuations. On the basis of this characterization, a statistical-mechanical formula is constructed, to represent the entropy of an equilibrium dense fluid. For the example of fluid sodium, the statistical entropy agrees well with the measured thermodynamic entropy.

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Cited by 173 publications
(149 citation statements)
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“…29,[51][52][53][54] Here, we focus on the lower order terms, as these are relatively tractable computationally and are expected, based in part on prior applications of IST (see Introduction), to capture much of the physics; higher order terms will be examined in future studies. Subsections II A 1 and II A 2 briefly review IST in order to define notation and provide a basis for the discretization methodology.…”
Section: A Inhomogeneous Solvation Theorymentioning
confidence: 99%
“…29,[51][52][53][54] Here, we focus on the lower order terms, as these are relatively tractable computationally and are expected, based in part on prior applications of IST (see Introduction), to capture much of the physics; higher order terms will be examined in future studies. Subsections II A 1 and II A 2 briefly review IST in order to define notation and provide a basis for the discretization methodology.…”
Section: A Inhomogeneous Solvation Theorymentioning
confidence: 99%
“…As discussed earlier the excess entropy S ex , defined as the difference between the total entropy (S total ) and the ideal gas entropy (S id ) at the same temperature (T ) and density (ρ), can also be expanded in an infinite series, S ex = S 2 + S 3 + ..... = S 2 + ∆S using Kirkwood factorization 44 of the N-particle distribution function [45][46][47] . S n is the "n" body contribution to the entropy.…”
Section: Excess Entropymentioning
confidence: 99%
“…This factorization leads to an expression of the excess entropy that can be truncated at the two body correlation function which contains the information of both the relative position and orientation of two molecules (details can be found in the literature [14][15][16][17][18][19] and the ESI † ). Even in the simple case of two-body correlations there is still the need to calculate the correlation function for 6 variables.…”
Section: Introductionmentioning
confidence: 99%