2009
DOI: 10.1007/s10909-009-9916-9
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Modeling Relaxation Processes for Fluids in Porous Materials Using Dynamic Mean Field Theory: An Application to Partial Wetting

Abstract: We review a recently developed dynamic mean field theory for fluids confined in porous materials and apply it to a case where the solid-fluid interactions lead to partial wetting on a planar surface. The theory describes the evolution of the density distribution for a fluid in a pore that has contact with the bulk during a quench in the bulk chemical potential. In this way the dynamics of adsorption and desorption can be studied. By focusing on partial wetting situation we can investigate influence of a weaker… Show more

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Cited by 36 publications
(32 citation statements)
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“…Ref. 65 explains that one way of obtaining a physically reasonable value for the particle-vacancy jump attempt rate w 0 is by comparing between estimated (D) and experimental (D s ) self-diffusion coefficients. IfD is obtained from KMC simulations in dimensionless units, the desired correspondence would be D s =Da 2 w 0 , where a is the lattice spacing.…”
Section: Discussionmentioning
confidence: 99%
“…Ref. 65 explains that one way of obtaining a physically reasonable value for the particle-vacancy jump attempt rate w 0 is by comparing between estimated (D) and experimental (D s ) self-diffusion coefficients. IfD is obtained from KMC simulations in dimensionless units, the desired correspondence would be D s =Da 2 w 0 , where a is the lattice spacing.…”
Section: Discussionmentioning
confidence: 99%
“…[24][25][26][30][31][32][33][34] The theory provides a mean field approximation to the master equation for the dynamics of a lattice gas 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 …”
Section: Model and Theorymentioning
confidence: 99%
“…Since then, there have been numerous refinements and applications of the DDFT methods for both continuous and discrete systems, ranging from spinodal decomposition to molecular diffusion, wetting, condensation-evaporation, imbibition-drainage, etc. 5,[7][8][9][10][11][12] Based on its formal derivation, the DDFT method describes the relaxation of Brownian particles in a medium, with two important approximations: (a) the adiabatic approximation and (b) that the local velocity distribution is close to the Maxwellian. 13 The former assumption implies that one can approximate the spatial correlations in the non-equilibrium fluid with those of an equilibrium fluid with the same one-body density profile.…”
Section: Introductionmentioning
confidence: 99%