Applying Thermo: an Example of Kinetics - Diffusion = − ⋅ (5)

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Applying Thermo: an Example
of Kinetics - Diffusion
MSE 510
 Fundamental Physics of Force and Energy/Work:
 Energy and Work:
o In general:
o The work is given by:
dw =− F ⋅ dr (5)
(One can argue that Eqns. 4 and 5 are really one in the same.)
o
o
o
o
Work or Energy are scalar potentials (e.g., voltage).
Force is a Vector field.
If a potential is constant, there is no FIELD!
Work is done by a Force!
o Combining equations 4 and 5, we have:
dw =− F ⋅ dr =−
∂Y
dr
∂r
(6)
o Key Point: If the field potential is not changing, then no
work would be done.
Enough fundamentals! Let’s apply this physics and thermo!
Knowlton
1
MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion:
 Consider a force/forces acting on an atom producing
atomic motion.
 The applied force is given by the previous equation:
F = −∇Y
(7)
 The motion of the atom will be often interrupted by other
atoms and collisions occur.
 Thus: the velocity of the diffusing atom over a time
period larger than the time between collisions is an
average velocity.
 The velocity is proportional to the applied force and can
be written as:
v = µ mob F
(8)
 The constant of proportionality is called the mobility.
 Consider:
o Flux of atoms, A, diffusing at an average velocity, v,
through a homogeneous distribution of B atoms.
o The flux of A atoms through B is equal to the product of:
• Number of A atoms per unit volume (i.e., concentration, CA)
• Average velocity of the A atoms, vA.
o This is given by:
Knowlton
J A = C Av A
(9)
2
MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion (cont.):
 By combining the last two equations, we obtain:
(10 )
A
J A = C A µ mob
FA
 Substituting the Force Field Eqn. 7 (field gradient):
A
JA =
−C A µ mob
∇YA
(11)
o This last equation is a general form of Fick’s 1st Law of
Diffusion.
o That is, the flux of A atoms through a homogeneous
distribution of B atoms is due to the gradient of some
potential field.
o NOTE: This potential field can be any of the ones shown in
the previous table.
 Because the gradient of a potential field follows the
superposition principle, the more general form of Fick’s
1st Law is:
A
JA =
−C A µ mob
∑ ∇Yi, A
(12 )
i
o where the sum indicates the superposition of potential field
gradients.
Knowlton
3
Applying Thermo: an Example
of Kinetics - Diffusion
MSE 510
 Thermo & Physics as applied to Diffusion (cont.) –
Derivation of Ficks 1st Law:
 In the following slides, Fick’s 1st law, in which the
concentration gradient is obtained from the chemical
potential, is explicitly derived.
 Key point: Diffusion in solids is based on this delineation.
 The chemical potential of atoms A is given by the
thermodynamic relation:
 ∂Ε A 

∂
N
 A T , P , N
(13)
µA = 
≠A
where ΕA is a free energy of the A atoms in B.
 Examples of Free Energy, E:
o
o
o
o
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Gibbs, G = G(T, P, N)
Helmhotz, F = F(T, V, N)
Enthalpy, H = H(S, P, N)
Omega potential or Grand Potential, Ω = Ω(T, V, µ)
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion (cont.):
 Substituting eqn. 13 into eqn. 11, the flux with respect to
the chemical potential gradient is obtained:
A
JA =
−C A µ mob
∇µ A
(14 )
 Assuming one-dimensional diffusion, equation 14
simplifies to:
J A = −C A µ
A
mob
∂µ A
∂x
(15)
 The chemical potential of the A atoms may be written as a
function of the chemical activity (i.e., aA) of A in a
distribution of B:
φ
µ=
µ
A
A + kT ln a A
(16 )
o where aA is the activity of A among B, k is Boltzmann’s
constant and µΑ is the chemical potential of A in the pure
state.
 The aA may be described as the amount that the chemical
potential of A deviates from the ideal or pure state (i.e.,
ideality).
 The ideality can be interpreted as the absence of A-A
interaction upon adding an extra A atom to the system.
 Thus, the enthalpy change, ∆H, of the system is zero.
Knowlton
5
MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion (cont.):
 The mathematical description of the activity is given by:
a A = γ AC A
(17 )
o where γA is the activity coefficient and CA is the
concentration of the A atoms.
 Case I: (Henry’s Law) a range of CA much smaller than
the concentration of B atoms (CB), γA becomes constant.
o The chance of interaction between A and B atoms is small
since A is so dilute in B.
o The primary interaction of A is with B.
o This phenomenon is known as Henry’s law.
o Mathematically, as CA approaches zero, the activity
coefficient of A, γA, is given by:
aA
γ=
≅ constant
A
CA
(18)
 Case II: (Raoult’s law) CA >> CB (i.e., B rather than A
atoms follow Henry’s law), activity coefficient of A is 1.
o The A atoms have a small probability of interacting with B
atoms.
o The primary interaction of A atoms is with other A atoms.
o Hence, the solution of A is effectively pure.
Knowlton
6
MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion (cont.):
 In this case, and the activity coefficient is given by:
γ=
A
aA
≅1
CA
(19 )
o This condition is known as Raoult’s law.
o Raoult’s law is predominant for most diffusion processes in
Si since CSi >> Cdopant
 For either Henry’s or Raoult’s law, Fick’s 1st and 2nd law
may still be derived from the chemical potential.
 This eventually can be seen by combining equations 15,
16, and 17 into the following form:
J A = −C A µ
A
mob
(
∂ µ φA + kT ln γ AC A
∂x
) ( 20 )
o Since the chemical potential of a pure substance is constant,
its derivative is zero.
o Furthermore, k and T are constant.
o Under these circumstances and taking the derivative of the
natural logarithm, equation 20 becomes:
J A = −C A µ
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A
mob
kT ∂ (γ AC A )
γ AC A
∂x
( 21)
o For Henry’s and Raoult’s law, γA is a constant or one,
respectively.
o In either case, γA may be taken out of the differential.
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion (cont.):
 Since the ratios of both γA and CA factor to 1, then:
A
J A = − µ mob
kT
∂C A
∂x
( 22 )
 Einstein’s relation states that the diffusivity, D, of an atom
is proportional to its mobility where the constant of
proportionality is kT.
 Mathematically & in terms of A atoms, this is written as:
A
DA = kT µ mob
( 23)
ο µmob units = square of the distance per unit time per unit
energy.
o kT units = energy.
o Thus, DA units = square of the distance per unit time.
 Invoking Einstein’s relation with respect to equation 23,
Fick’s 1st law is obtained:
J A = − DA
∂C A
∂x
( 24 ) Fick’s 1st law
Note: It is the concentration gradient that drives the flux of
atoms from one area to another.
Fick’s 1st law = Steady State Diffusion C ≠ f ( t )
• C, at every point, does not change wrt time.
Knowlton
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Thermo & Physics as applied to Diffusion (cont.):
NON-STEADY STATE DIFFUSION
 It has been found that as the concentration of A atoms in
B changes with time, the concentration changes with
position.
 Known as Fick’s 2nd law, it has the following form:
∂C A
∂J A
= −
∂t
∂x
( 25)
 Assume that DA is concentration independent.
 For diffusion in S/Cs, the concentration of dopant atoms
is very small, thus assumption may be comfortably made.
 Substituting equation 24 into equation 25, Fick’s 2nd law,
is given by:
∂C A
∂ 2C A
= DA
∂t
∂x 2
Knowlton
( 26 )
Fick’s 2nd law
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion: Solving Fick’s 2nd Law
 Solve for C(x,t)
 Infinite Solutions
 Need Boundary Conditions
∂C A
∂ 2C A
= DA
∂t
∂x 2
 Two Primary Boundary Conditions:
o Fixed Surface Concentration (Infinite Source)
• Solution: Complimentary Error Function
o Redistribution of a constant total number of diffusing atoms
(Finite Source)
• Solution: Gaussian Function
Knowlton
10
MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion: Solving Fick’s 2nd Law
∂C A
∂ 2C A
= DA
∂t
∂x 2
 1st of 2 Primary Boundary Conditions:
o Fixed Surface Concentration (Infinite Source)
• Solution: Complimentary Error Function
• Boundary Conditions:
For
=
t 0,=
C Co at 0 ≤ x ≤ ∞
For t > 0, C= Cs at x= 0
C = Co at x = ∞
 x 
C ( x, t ) =Cs − ( Cs − Co ) erf 

 2 Dt 
 x 
=Co + ( Cs − Co ) erfc 

 2 Dt 
Knowlton
erfc ( z ) = 1 − erf ( z )
= 1−
2
π
∫
z
0
e − y dy
2
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion: Solving Fick’s 2nd Law
o Fixed Surface Concentration (Infinite Source)
• Solution: Complimentary Error Function
 x 
C ( x, t ) =Cs − ( Cs − Co ) erf 

 2 Dt 
 x 
=Co + ( Cs − Co ) erfc 

 2 Dt 
Knowlton
12
MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion: Solving Fick’s 2nd Law
∂C A
∂ 2C A
= DA
∂t
∂x 2
 2nd of 2 Primary Boundary Conditions:
o Redistribution of a constant total number of diffusing atoms
(Finite Source)
• Solution: Gaussian Function
• Boundary Conditions:
  x 2 
=
C ( x, t ) C ( 0, t ) exp  − 
 
Dt
2
 
 
 x2 
= C ( 0, t ) exp  −

Dt
4


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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion: Thermally Activated Processes
 Temperature Plays a significant role in diffusion
 Temperature is not the driving force.
 Remember:
DRIVING FORCE = GRADIENT of a FIELD
VARIABLE
 Remember: Driving force for diffusion is a
difference in the chemical potential, µ, eqn. 13.
µ phase1 ≠ µ phase 2 i.e. ∆µ ≠ 0 or ∇µ ≠ 0
 HOWEVER: Temperature increases the activity of
a diffusing species.
 Diffusivity or Diffusion Coefficient:
D = Do e
− Eact
k BT
 Eact is the activation energy for diffusion
 kb T is the thermal energy
 Do, the pre-exponential factor, contains a number
of physical constants and properties including:
o entropy of formation of the defect
o attempt frequency for jumps into available
neighboring sites
o lattice constant
o crystal structure dependence
Knowlton
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion: Thermally Activated Processes
 Diffusivity or Diffusion Coefficient:
D = Do e
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− Eact
k BT
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MSE 510
Applying Thermo: an Example
of Kinetics - Diffusion
 Diffusion Mechanisms = Processes = Reactions
 We will use Si as an example of a system with various
diffusion mechanisms.
 Two types of diffusion mechanisms:
o Direct diffusion mechanisms: diffusion without the aid of
point defects.
• Interstitial diffusion
o Indirect diffusion mechanisms: diffusion with the aid of
point defects
As + V ⇔ AV Vacancy mechanism
As + I ⇔ AI Interstitialcy mechanism
As + I ⇔ Ai Kick-out mechanism
As ⇔ Ai + V Dissociative (Frank-Turnbull) mechanism
kf
As + I  AI
kr
∂ CIreac
= kr C AI − k f CI C A
∂t
k r & k f:
forward & reverse
Coefficients
of reaction
s
∂Ctotal ∂Cdiff ∂Crctn
=
+
∂t
∂t
∂t
Knowlton
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Applying Thermo: an Example
of Kinetics - Diffusion
MSE 510
 Diffusion Mechanisms = Processes = Reactions
 Indirect diffusion mechanisms: diffusion with the aid of
point defects
1.0
P
B
Ga, Al
0.8
sI
0.6
0.4
As
Acceptors (p-type dopants)
Donors (n-type dopants)
Fit to Donors
0.2
0.0
0.6
0.7
0.8
0.9
Sb
1.0
1.1
1.2
r/rI (atomic radius)
f2.1 interstitial
vs radius.o
5/98
D
eff ,eq
Xs
D
eff
Xs
Equilibrium
eq
eq
DXV CV
C XI
DXI CI C XV
eff C I
eff CV
Nonequilibrium
= eq
+
=
D
+
D
XI
XV
C X s CIeq
C Xeqs CVeq
CIeq
CVeq
DXeffs
DXeffs ,eq
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eq
eq
DXV
C XI
DXI C XV
eff
eff
DXI
= eq +
=
+ DXV
eq
CX s
CX s
eff
eff
DXV
CV
C
DXI
CI
C
= eff
+ eff
=
sI eqI + sV Veq
eff
eq
eff
eq
DXI + DXV CI
DXI + DXV CV
CI
CV
17
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