The Maxwell–Stefan
(M–S)
formulation, that is grounded in the theory of irreversible thermodynamics,
is widely used for describing mixture diffusion in microporous crystalline
materials such as zeolites and metal–organic frameworks (MOFs).
Binary mixture diffusion is characterized by a set of three M–S
diffusivities:
Đ
1
,
Đ
2
, and
Đ
12
. The M–S
diffusivities
Đ
1
and
Đ
2
characterize interactions of guest molecules with pore
walls. The exchange coefficient
Đ
12
quantifies correlation effects that result in slowing-down of the
more mobile species due to correlated molecular jumps with tardier
partners. The primary objective of this article is to develop a methodology
for estimating
Đ
1
,
Đ
2
, and
Đ
12
using input
data for the constituent unary systems. The dependence of the unary
diffusivities
Đ
1
and
Đ
2
on the pore occupancy, θ, is quantified using
the quasi-chemical theory that accounts for repulsive, or attractive,
forces experienced by a guest molecule with the nearest neighbors.
For binary mixtures, the same occupancy dependence of
Đ
1
and
Đ
2
is assumed
to hold; in this case, the occupancy, θ, is calculated using
the ideal adsorbed solution theory. The exchange coefficient
Đ
12
is estimated from the data on unary
self-diffusivities. The developed estimation methodology is validated
using a large data set of M–S diffusivities determined from
molecular dynamics simulations for a wide variety of binary 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, Ne/Ar, CH
4
/C
2
H
6
, CH
4
/C
3
H
8
,
and C
2
H
6
/C
3
H
8
) in zeolites
(MFI, BEA, ISV, FAU, NaY, NaX, LTA, CHA, and DDR) and MOFs (IRMOF-1,
CuBTC, and MgMOF-74).