2016
DOI: 10.1088/0953-8984/28/41/414003
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Vapour-liquid phase diagram for an ionic fluid in a random porous medium

Abstract: We study the vapour-liquid phase behaviour of an ionic fluid confined in a random porous matrix formed by uncharged hard sphere particles. The ionic fluid is modelled as an equimolar binary mixture of oppositely charged equisized hard spheres, the so-called restricted primitive model (RPM). Considering the matrix-fluid system as a partly-quenched model, we develop a theoretical approach which combines the method of collective variables with the extension of the scaled-particle theory (SPT) for a hard-sphere fl… Show more

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Cited by 14 publications
(17 citation statements)
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“…Then, using the method of CVs, we can present the equilibrium grand partition function of the system in the form of a functional integral (see [43] and the references therein):…”
Section: B Collective Variables-based Approach Gaussian Approximationmentioning
confidence: 99%
“…Then, using the method of CVs, we can present the equilibrium grand partition function of the system in the form of a functional integral (see [43] and the references therein):…”
Section: B Collective Variables-based Approach Gaussian Approximationmentioning
confidence: 99%
“…The present work can be extended directly to the presence of disordered porous media. For the present time, the scaled particle theory for a hard sphere fluid in disordered porous media is quite well developed [27-29, 33, 42, 43] and has found applications in describing a reference system within the perturbation theory for fluids with different types of attraction, such as associative [44] and ionic fluids [45,46]. A generalization of SPT theory for the description of a hard spherocylinder fluid in disordered porous media is presented in [13,14].…”
Section: Discussionmentioning
confidence: 99%
“…. r indicates the average taken over the reference system and we put ρ 1 Taking into account the second order cumulants in (11), after integration, we obtain the grand partition function of the replicated system in the Gaussian approximation…”
Section: Theoretical Backgroundmentioning
confidence: 99%