modes. Zn in the hcp-structure may have a distinct different entropy
compared to a hypothetical zinc crystallised in the fcc-structure.
It is, therefore, possible that the structural differences
between Cu and Zn are responsible for the disagreement in the
above-mentioned
D
max
S
exc
m
values, which can be tested using the
density functional theory (DFT).
To define the entropy of a Cu–Zn system without any structural
changes, the entropy difference between a hypothetical fcc-Zn and
the hcp-Zn structure has to be calculated. Therefore, lattice
dynamics calculations using the DFT plane wave pseudopotential
approach of both structures were performed. The resulting dispersion
relations are compared in figure 5. The mean frequency of the
fcc-structure is lower compared to that of the hcp-structure and it
seems that the absence of different crystallographic sites and in
consequence the absence of the optical modes in the fcc-structure
is responsible for this shift. The vibrational entropy of fcc-Zn is,
therefore, higher than that of the hcp-structure. The entropy
change of the hcp-fcc phase transition amounts to
D
S/
(J mol
1
K
1
) = 2.1 ± 0.5 depending on which pseudopotential
was used. A new binary can, thus, be constructed, i.e., the fcc
Cu–Zn binary. The excess vibrational entropies of this new binary
are much larger (figure 6). Using again a Margules mixing model
to calculate the maximum extent of the excess vibrational entropy
of this fcc-binary results in
D
max
S
exc;calor;fcc
m
/(J mol
1
)=1.5.
The volume and bulk modulus of the fcc-Zn structure has also to
be recalculated using DFT calculations in order to give
DV
values for the fcc Cu–Zn binary. The bonds in the fcc-Zn
structure are slightly longer and softer compared to the hcp-Zn
modes. Zn in the hcp-structure may have a distinct different entropy
compared to a hypothetical zinc crystallised in the fcc-structure.
It is, therefore, possible that the structural differences
between Cu and Zn are responsible for the disagreement in the
above-mentioned
D
max
S
exc
m
values, which can be tested using the
density functional theory (DFT).
To define the entropy of a Cu–Zn system without any structural
changes, the entropy difference between a hypothetical fcc-Zn and
the hcp-Zn structure has to be calculated. Therefore, lattice
dynamics calculations using the DFT plane wave pseudopotential
approach of both structures were performed. The resulting dispersion
relations are compared in figure 5. The mean frequency of the
fcc-structure is lower compared to that of the hcp-structure and it
seems that the absence of different crystallographic sites and in
consequence the absence of the optical modes in the fcc-structure
is responsible for this shift. The vibrational entropy of fcc-Zn is,
therefore, higher than that of the hcp-structure. The entropy
change of the hcp-fcc phase transition amounts to
D
S/
(J mol
1
K
1
) = 2.1 ± 0.5 depending on which pseudopotential
was used. A new binary can, thus, be constructed, i.e., the fcc
Cu–Zn binary. The excess vibrational entropies of this new binary
are much larger (figure 6). Using again a Margules mixing model
to calculate the maximum extent of the excess vibrational entropy
of this fcc-binary results in
D
max
S
exc;calor;fcc
m
/(J mol
1
)=1.5.
The volume and bulk modulus of the fcc-Zn structure has also to
be recalculated using DFT calculations in order to give
DV
values for the fcc Cu–Zn binary. The bonds in the fcc-Zn
structure are slightly longer and softer compared to the hcp-Zn
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