Yh. Zhou et Gh. Miller, MUTUAL DIFFUSION IN BINARY AR-KR MIXTURES AND EMPIRICAL DIFFUSION-MODELS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 53(2), 1996, pp. 1587-1601
Molecular dynamics simulations of four binary Ar-Kr mixtures are used
to compute self- and mutual-diffusion coefficients. Results using mean
squared displacements and using velocity correlation functions are pr
esented. The diffusivity coefficients are also presented in the time a
nd frequency domains where a comparatively low frequency structure is
evident in some simulations. The computed diffusivities are dependent
on the maximum time over which the velocity correlation functions are
integrated and the time at which the Einstein relationships are evalua
ted. This dependence explains in part the small systematic differences
between our results (20-80 ps) and earlier molecular dynamics results
(<4 ps) in the system Ar-Kr. We compare the computed mutual diffusion
coefficients to two empirical models, Darken's model and the common f
orce model. Darken's model is consistent with our results over the ent
ire frequency range we resolve. At frequencies lower than about 5 ps(-
1) Darken's model and the common force model converge and we cannot di
scriminate between them. At higher frequencies the common force model
prediction is significantly different from the computed mutual diffusi
on coefficient. Assumptions regarding the contribution of cross correl
ations that are implicit in the empirical models are discussed and tes
ted against our simulation results. The net contribution of velocity c
ross correlations is found to be negligible, as is often assumed in de
riving Darken's model, but the individual crosscorrelation terms are s
ubstantial and negative-a finding contrary to common assumptions.