Occupancy Dependency of Maxwell–Stefan Diffusivities in Ordered Crystalline Microporous Materials

[Image: see text] Molecular dynamics simulation data for a variety of binary guest mixtures (H(2)/CO(2), Ne/CO(2), CH(4)/CO(2), CO(2)/N(2), H(2)/CH(4), H(2)/Ar, CH(4)/Ar, Ar/Kr, Ne/Ar, CH(4)/C(2)H(6), CH(4)/C(3)H(8), C(2)H(6)C(3)H(8), CH(4)/nC(4)H(10), and CH(4)/nC(5)H(11)) in zeolites (MFI, BEA, IS...

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Detalles Bibliográficos
Autor principal: Krishna, Rajamani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6275975/
https://www.ncbi.nlm.nih.gov/pubmed/30533580
http://dx.doi.org/10.1021/acsomega.8b02465
Descripción
Sumario:[Image: see text] Molecular dynamics simulation data for a variety of binary guest mixtures (H(2)/CO(2), Ne/CO(2), CH(4)/CO(2), CO(2)/N(2), H(2)/CH(4), H(2)/Ar, CH(4)/Ar, Ar/Kr, Ne/Ar, CH(4)/C(2)H(6), CH(4)/C(3)H(8), C(2)H(6)C(3)H(8), CH(4)/nC(4)H(10), and CH(4)/nC(5)H(11)) in zeolites (MFI, BEA, ISV, FAU (all-silica), NaY, NaX, LTA, CHA, DDR) and metal–organic frameworks (MOFs) (IRMOF-1, CuBTC, MgMOF-74) show that the Maxwell–Stefan (M–S) diffusivities, Đ(1), Đ(2), Đ(12), are strongly dependent on the molar loadings. The main aim of this article is to develop a fundamental basis for describing the loading dependence of M–S diffusivities. Using the ideal adsorbed solution theory, a thermodynamically rigorous definition of the occupancy, θ, is derived; this serves as a convenient proxy for the spreading pressure, π, and provides the correct metric to describe the loading dependence of diffusivities. Configurational-bias Monte Carlo simulations of the unary adsorption isotherms are used for the calculation of the spreading pressure, π, and occupancy, θ. The M–S diffusivity, Đ(i), of either constituent in binary mixtures has the same value as that for unary diffusion, provided the comparison is made at the same θ. Furthermore, compared at the same value of θ, the M–S diffusivity Đ(i) of any component in a mixture does not depend on it partner species. The Đ(i) versus θ dependence is amenable to simple interpretation using lattice-models. The degree of correlations, defined by the ratio Đ(1)/Đ(12), that characterizes mixture diffusion shows a linear increase with occupancy θ, implying that correlations become increasingly important as pore saturation conditions are approached.