Usually the tracer (or Brownian) diffusion coefficient of a diffusion specie is different on the two sides of a diffusion couple (diffusion asymmetry). (see Fig. 2.8) This originates from the difference in the bonding strength in the different matrixes. Therefore, the jump probabilities of the atoms or the diffusion coefficient depend on the local environment, i.e. on the local composition.
![]() |
The interface in a diffusion couple is usually not atomically sharp but more or less diffused. This means that the composition changes, consequently the diffusivity also changes accordingly. Therefore the (tracer) diffusion coefficients are composition dependent.(see Fig. 2.9) (for this reason the 2.7 form of Fick's second law is not advised)
![]() |
The composition dependence of the diffusion coefficient
(
) or the jump frequency (
) can be considered in both
continuum and atomic models, for instance, in the following form:
or
, where
and
are composition independent pre-exponential factors,
is
the composition of one of the constituents (e.g. of
) and
is a
parameter determining the strength of the composition dependence. It
is worth introducing an
(
is the base of
natural logarithm) parameter, since thus
, i.e. its value gives in orders of
magnitude the ratio of the jump probabilities or diffusion
coefficients in the pure
and
matrixes. (see
Fig. 2.10) This gives the possibility to determined
experimentally from the self and impurity diffusion coefficients (and
can also be called as diffusion asymmetry
parameter).[2] Note that,
can also be
derived from the difference in the
and
pair interaction
energies (see e.g. Ref. [2]). If
is
positive/negative, the jumps are faster/slower in the
matrix. For
instance,
means that the jumps are
times faster in
the
matrix than in
. The ratio of the diffusion coefficients is
usually several orders of magnitude (
). The diffusion asymmetry
is seldom considered despite that in nature usually different atoms
have different mobility in different materials.
![]() |
The animation in Fig. 2.11 illustrates how the diffusivity
of an
(
) atom changes while it diffuse from the
(
) matrix to the
(
).
![]() |
Remark: Usually we, suppose that the diffusion coefficient has exponential composition dependence. However, it is not obligatory, any kind of function may be assumed, it does not alter the general conclusions.