2017
DOI: 10.1007/s10955-017-1786-y
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Random Process Theory Approach to Geometric Heterogeneous Surfaces: Effective Fluid–Solid Interaction

Abstract: Realistic fluid-solid interaction potentials are essential in description of confined fluids especially in the case of geometric heterogeneous surfaces. Correlated random field is considered as a model of random surface with high geometric roughness. We provide the general theory of effective coarsegrained fluid-solid potential by proper averaging of the free energy of fluid molecules which interact with the solid media. This procedure is largely based on the theory of random processes. We apply first passage … Show more

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Cited by 19 publications
(30 citation statements)
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“…as was demonstrated in work [6] in the case when terms of F mono and F chain are depended on segment density ρ solution of (8) can be written as function of r. In assumption of surface radial symmetry external potential can be represented as function of one spatial coordinate only U f s (z), where z is the distance between the chain-segment and the surface [18].…”
Section: Inhomogeneous Version Of Saftmentioning
confidence: 90%
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“…as was demonstrated in work [6] in the case when terms of F mono and F chain are depended on segment density ρ solution of (8) can be written as function of r. In assumption of surface radial symmetry external potential can be represented as function of one spatial coordinate only U f s (z), where z is the distance between the chain-segment and the surface [18].…”
Section: Inhomogeneous Version Of Saftmentioning
confidence: 90%
“…Our approach is based on Free Energy Averaging Technique presented in the work [20]. Also advanced theory of Markovian random processes and the first passage time probability problem were applied as part of averaging procedure (see work [18]…”
Section: Surface Geometry and External Potentialmentioning
confidence: 99%
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“…The mixture of Lennard -Jones (LJ) fluids in terms of DFT, FMT, and MFA was first investigated by Kierlik and Rosenberg in 1991 [37]. Furthermore, the classical DFT was extended for solving particular problems: Statistical Associating Fluid Theory (SAFT) for modeling polymers [38], Quenched Solid Density Functional Theory (QSDFT) [39], and Random Surface Density Functional Theory (RSDFT) [40] to take into account the effect of rough surfaces on fluid behavior, and Random Surface Statistical Associating Fluid Theory (RS-SAFT) to study the impact of rough surface on the adsorption of n-alkanes [41]. However, molecular DFT is not widely used for the prediction of fluid mixture behavior.…”
mentioning
confidence: 99%
“…This starting points z i may be negative for extremely rough surfaces and tends to hard walls value d i /2 as the roughness becomes insignificant. Considering the rough surface as the Gauss correlated process the contact conditions can be calculated as functions of the relative roughness parameters z i (δ/d i , λ/d i ) [25]. The details of the dependence of ions penetration into solid media on the surface roughness and the diameter of molecules can be found in Appendix B.…”
mentioning
confidence: 99%