A careful analysis of published experimental data on permeation of a variety of binary mixtures reveals that there are fundamentally
two types of diffusional coupling effects that need to be recognized. The first type of coupling occurs when the less-mobile
species slows down its more mobile partner by not vacating an adsorption site quick enough for its more mobile partner to
occupy that position. Such slowing-down effects, also termed correlation effects, are quantified by the exchange coefficient
D-12 in the Maxwell-Stefan (M-S) formulation. The parameter D-1/D-12, quantifying the degree of correlations, is strongly
dependent on the pore size, topology and connectivity and reasonable estimates are provided by molecular dynamics (MD) simulations.
In cage-type structures (e.g. CHA, DDR, LTA, and ZIF-8) in which adjacent cages are separated by narrow windows correlations
are weak, and D-1/D-12 approximate to 0 is a good approximation. On the other hand correlations are particularly strong in
structures consisting of one-dimensional channels (e.g. NiMPOF-74), or intersecting channels (e.g. MFI) structures; in these
cases the values of D-1/D-12 are in the range 1-5. A wide variety of experimental data on binary mixture permeation can be
quantitatively modeled with the Maxwell-Stefan equations using data inputs based on unary permeation experiments, along with
D-1/D-12 values suggested by MD. The second type of coupling occurs as a consequence of molecular clustering due to hydrogen
bonding. Such clustering effects, commonly prevalent in alcohol/water pervaporation, can cause mutual slowing-down of partner
molecules in the mixture. When molecular clustering occurs the Maxwell-Stefan diffusivity of a species in the mixture, D,,
cannot be identified with that obtained from unary permeation.