Order-disorder transformations
Describing ordering using a two-sublattice model
A1yBy
p
A1zBz
qMajor constituents are bolded. In plain English, A wants to go to the 1st sublattice, and B prefers to reside on the 2nd sublattice.
There is a reason why it is advantageous to use the normalizing condition1:
1
p q
A1yBy
p
A1zBz
1p (1)This is how the long-range order (LRO) parameter is typically defined:
A
1 1
y x p
(2)
It is clear from (1) that:
A 1 1 1
x p y p z p py 1 z p pz py 1 z pz (3)
Let us use (3) in (2):
A
1 1
1 y x
p
1 y py
1
1
1 1
y p z p
z pz
z y
p p
The order parameter is a difference between the site fractions of B in the second and the first
sublattice. It is worth remembering that A is the major constituent on the first sublattice, and B is
the major constituent on the second sublattice. In view of this, it is apparent that:
0 1
The order parameter can be defined using the site fractions of A as well:
1
1
z y y z
(4)
1
A fully disordered state
Site fractions of A and B are equal to their molar fractions. For A, this means that
A
1 y 1 z 1 x . It immediately follows from (4) that for a fully disordered (random)
solutions the order parameter is equal to zero:
0
Stoichiometric composition
The stoichiometric composition corresponds to the case when the first sublattice is completely
occupied by A, and the second one is fully filled by B:
A p B 1pIt is clear that 1 y 1 and that 1 z 0. In immediately follows from one that the order
parameter for the fully ordered solution having the stoichiometric composition is equal to unity:
1
A partial ordering is characterized by
0,1 .Non-stoichiometric compositions
In this case, xA p and xB 1 p. What can be said about the maximum value of the order parameter? Obviously, two situations must be analyzed.
Excess of A (deficit of B)
If xA p, then the first sublattice is completely filled with A:
A p A1zBz
1pThis means, of course, that:
1 y 1 (5)
In order to find the site fraction of A on the second sublattice, let us consider the mass balance
with respect to A:
A 1 1
x p p z
A
1
1
x p z
p
Let us make use of (5) and (6) in (4):
A max
1 1
1
p x p
p
A x p
1 A
1 1
x
p p
Since xA p, max 1. Let us summarize our finding by stating that in the case of
non-stoichiometric composition and an excess of A, the following is true:
max
A
1
0
1
x
p
Deficit of A (excess of B)
If xA p, then the second sublattice is completely filled with B:
A1yBy
p
B 1pWhat is means is that:
1 z 0 (7)
Let us use mass balance with respect to A to find 1y;
A 1
x p y
A
1 y x
p
(8)
By inserting (7) and (8) in (4), we arrive at:
A A
max 0
x x
p p
Since xA p, max 1. Let us summarize our finding by stating that in the case of non-stoichiometric composition and an excess of B, the following is true:
max
A
0
x
p
Renaming the sublattices
nd st
1 1
2 sublattice 1 1 sublattice
B A
y y z z p p
A
B (9)
Mother Nature does not care how we name sublattices. In other words, the properties of the
solution do not depend on what sublattice is called the first, and what sublattice is name the
second.
ST nd
1 1
1 sublattice 1 2 sublattice
A z z y y
p p
B A
B (10)
For (9), the order parameter is defined as:
9
1 y
1 z
For (10), the order parameter is defined as:
10
1 z
1 y
9
If the lattices are renamed, then the order parameter changes its sign2. Is it important? No, it is
not important, it is very important! Why? Well, let us consider the Gibbs energy of ordering,
which, of course, should depend on the order parameter . A corresponding expression cannot
change if the lattices are renamed, which imposes limitations on our choice of G
. Imagine,for instance, that it is decided to use
0
n i i i
G c
(11)If the lattices are renamed, then the following must hold:
0 0
n n
i i
i i
i i
c c
If is even, then i i
i, but if is odd, then i i
i. Apparently, there should be no
terms with odd powers in (11), which means that it should be written as:
2 40 2 4
G c c c
You understand that c0 must be equal to 0, don’t you?!
2
First- and second-order phase transitions
Phase transformation
Disordered state 0 Ordered state 0
If suddenly changes from 0 to a finite value, then we have a phase transformation of the first order.
If gradually (continuously) changes from 0 to max, then we have a phase transformation of the second order.
Landau
theory of the second-order phase transformations
3Let us consider a binary A–B solution, which is fully disordered above , and which starts to
order below this critical temperature. Apparently, we are dealing with the order-disorder
transformation, which is a second order transition. Let us postulate that the Gibbs energy of this
solution depends on temperature, pressure, composition and the LRO parameter:
0 T
, , A,
GG T P x
Let us also postulate that is continuously differentiable in the vicinity of the phase transition.
This postulate, which is not self-evident, indeed, limits the generality and applicability of the
Landau’s theory.
G
Since in the vicinity of T0, 1, we can use our favourite ultimate weapon:
2 2 3 3A 0 1
, , ,
2 3 4
A A
G T P x G A A44 (12)
where G A0, 1,,A4 are functions of T, P and xA.
First of all, let us make use of the equilibrium condition:
2 3
1 2 3 4 1
0 0 G
A A A A A
0 (13)
In view of (13), one can simplify (12):
2 2 3 3A 0
, , ,
2 3 4
A A
G T P x G A44
(14)
3
At this moment, you should revisit the section Renaming the sublattices on page 4 and realize
that all terms with odd powers in (14) must be identical to 0, which, in turn, means that A3 0.
2 2 4A 0
, , ,
2 4
A A
G T P x G 4 (15)
Since the solution is in equilibrium, the following two conditions must be fulfilled: G 0
and 2G 2 0. With respect to (15), these conditions yield:
2 4 3 2
2 4
0 2 4 2 0
2 4
A A
G A A A
A4 (16)
2
2 4 2
2 4
0 2
2 3
2 4
A A
G A
4 0
A
(17)
The equation (16) has two solutions. The first solution
0
(18)
corresponds to the disordered state. By substituting (18) in (17) we conclude that for the
disordered state:
0 2
IfT T , then A 0 (19)
The second solution
2
2 4 A A
(20)
corresponds to the ordered state. Substitution of (20) in (17) gives:
2
2 4 2
4
3 A 2
A A A
A 0
It is clear that for the ordered state:
0 2
IfT T A, 0 (21)
From (21) and (20) one instantly concludes that for the ordered state:
4 0 A
It is apparent from (19) and (21) that depends on temperature and that . Let
be a function of
2
A A T2
T0
02
A TT0. Since in the vicinity of the phase transition the difference T T0 is
small, let us decompose A2 into the Taylor’s series and restrict our appetite by the first term:
2
The constant in a (22) is always positive, because if T T0, then A2 0, and if T T0, then
. Let us use
2 0
A (20) and assume that in the vicinity of T0 is constant:
0 4
A A4 (23)
From (20), (22) and (23) one gets:
0
0
2 2
0
4 4 4
a T T a T T A
A A A
0 (24)
Let us substitute (22) and (24) in (15):
2 0
0 0 4 0
A 0 0 0
4 4
2
0 2
2
0 0 4 0
0 0 0 0 0
4 4 4
, , ,
2 4
2 4 4
a T T a T T A a T T G T P x G
A A
a T T a T T A a T T a
G G
A A A
T0 T
[image:7.612.83.541.117.347.2]Theory vs. experiment
Figure 1 hardly deserves extensive comments. It is clear that when 1 the theory works fine.
T
2
0