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UEEP2024 Solid State Physics
Topic 3 Free Electron in Metals
Drude’s classical theory of Electrical
Conduction
• Drude assumed that a metal is composed of ions, which are
stationary, and valence electrons, which are free to move.
• If no voltage applied to the metal then at each collision the
electron is deflected in a different direction so that the
overall motion is quite random.
• The valence electrons appears to be similar to the
molecules in an idea gas.
• The velocity of the electrons with mass m at temperature T
is given by the equation
where KB is the Boltzmann’s constant.
TKmv B
2
3
2
1 2

Drude’s classical theory of Electrical
Conduction
• The mean free path  is the average distance
that an electron travels between collisions.
• The relaxation time  is the average time
duration between collisions.
• The mean speed of the electron
• The speed of electron at room temperature is
about 105 ms-1.
• The mean free path is about 1 nm and the
relaxation time about 10-14 s.
.


v
Drude’s classical theory of Electrical
Conduction
• When we apply an electric field to a sample,
the electrons are attracted towards the
positive end of the sample, a net flow of
electrons in this direction.
• If the electric field is E, then the force on each
electron is eE.
• Acceleration on each electron is .
• Change in velocity
• This quantity is called the drift velocity.
em
eE
a 
.
em
eE
av

 
Drude’s classical theory of Electrical
Conduction
• Electron mobility µ =e/m.
• The current density
where n is the number of valence electrons per unit
volume,
• Conductivity of the metal is given by
• Drube’s model is
a) consistent with ohm’s law.
b) Explain the phenomenon of electrical resistance.
c) Gives good values of conductivity.
.eEn
A
I
J 
.en 
Failures of Classical model
• Conductivity should be directly proportional to the valence electron
concentration, not in good agreement with experimental data.
• Electrical properties of alloys should be intermediate between the
values of corresponding pure materials. However many alloys have
resistivity which are considerably larger than those of either of the
pure constituents.
• The dependence of resistivity on temperature:
Drube’s model predicted resistivity should be proportional to T1/2,
experimental measurement show that resistivity is actually
proportional to T over a wide range of temperature.
• Drude ‘s model predict the molar specific heat capacity for
monovalent metal of 9R/2, 6R for divalent metal and 15R/2 for
trivalent metal. However, experiment results show that the molar
specific heat capacity at room temperature is approximately 3R,
regardless of the valency of the metal.
Example
Estimate the typical conductivity of a metal at
295 K assuming that the mean free path is
about 1 nm and the number of valency
electrons is about 1029 m-3.
Solution
• Thermal velocity
• Relaxation time
• Conductivity
15
31
23
1016.1
1011.9
)295)(1038.1(33 





 ms
m
Tk
v B
s
v
15
5
9
1062.8
1016.1
101 







    
117
31
15219292
1042.2
1011.9
1062.8106.110







m
m
ne 

Free Electron Fermi Gas
• Atoms bounded by “free electrons”. Good
example is alkali metals (Li, K, Na, etc.)
Electron in a metal can move freely in a straight path over many
atomic distances, undeflected by collisions with other conduction
electron or by collisions with the atom cores
Free Electron Fermi Gas
1. A conduction electron is not deflected by ion cores
arranged on a periodic lattice
2. A conduction electron is scattered only infrequently by
other conduction electrons
Consequence of the Pauli exclusion principle
Free electron Fermi gas – A gas of free electrons
subject to the Pauli principle
Free Electron Fermi Gas
),(ˆ),( trHtr
t
i 



For a general quantum system
(1)
For a single particle in three dimensions
),()(),(
2
),( 2
2
trrVtr
m
tr
t
i 

 
 (2)
Wave functionHamiltonian operator
Free Electron Fermi Gas
(1-D)
nn
n
E
dx
d
m


 2
22
2

Consider a free electron gas in 1-D (electron of mass m is confined
to a length L by infinite barriers), (2) can be expressed as
With boundary conditions
0)(0)0(  Lnn
(3)
Energy of the electron
Free Electron Fermi Gas
(1-D)
LnwherexA n
n
n 





 


2
12
sin
L
n
kwhere
m
k
E n
n
n


2
22

The solution of (3)
Energy En is given by
wavevector
0 /L 2/L
K-space
k
/L
Free Electron Fermi Gas
3-D
)()(
2
2
2
rEr
m
kkk 

Consider a free electron gas in 3-D (electron of mass m is confined
to a cube of edge L), (2) can be expressed as
With boundary conditions
0)(0)0(
0)(0)0(
0)(0)0(



Lzz
Lyy
Lxx
kk
kk
kk
(4)
Free Electron Fermi Gas
(3-D)
LnLnLn zzyyxx  
2
1
,
2
1
,
2
1




















 zyxA
zyx
k





 2
sin
2
sin
2
sin
The solution of (4)
where
(5)
Free Electron Fermi Gas
(3-D, periodic boundary conditions)
• 3-D system
• periodic boundary
conditions
,.....
8
,
6
,
4
,
2
,0,,
LLLL
kkk zyx


),,(),,(
),,(),,(
),,(),,(
zyxLzyx
zyxzLyx
zyxzyLx
kk
kk
kk



The solution of (4)
 rikArk  exp)( the components of k satisfy
One allowed value of k per volume (2/L)3
Free Electron Fermi Gas
(3-D, periodic boundary conditions)
 222
2
2
2
22
zyxk kkk
m
k
m
E 

Energy Ek is given by
K space
(6)
Free Electron Fermi Gas
(density of state)
 
2/3
22
3
3
3
2
3/2
3/4
2 







mEL
L
k
N


total number of allowed energy state
Density of states – number of allowed energy state per unit energy
range
2/1
2/3
22
3
2
2
)( E
mL
dE
dN
ED 







(7)
(8)
Free Electron Fermi Gas
(Fermi energy)
3/2
3
22
3
2 






L
N
m
EF

The Fermi energy is defined as the energy of the topmost filled
level in the ground state of the N electron system.
The state of the N electron system at absolute zero
From (7), we get
For N electron system
Free Electron Fermi Gas
(Fermi-Dirac distribution)
• The Fermi-Dirac distribution gives the probability that an
energy state with energy E is occupied by an electron
1exp
1
)(




 

kT
E
Ef

The electron density is given by
 dEEfEDn )()(
Fermi level – the energy at
which the probability of
occupation is 1/2
Example
Show that the probability for an electron
state at the Fermi energy is equal to 0.5
for all finite temperature.
Solution
• When E = EF,
.
2
1
11
1
1
1
1
1
1
1
)(
0
/)(/)(








 
e
ee
Ef TKEETKEE BFFBF
Example
Using the Fermi-Dirac distribution, determine
the values of energy corresponding to f = 0.9
and f = 0.1 at a temperature of 300 K.
Solution
TKEE
TKEE
TKEE
e
e
e
Ef
BF
BF
BF
TKEE
TKEE
TKEE
BF
BF
BF
20.2
20.2
)111.0ln(/)(
111.01111.1
9.0
1
1
9.0
1
1
)(
/)(
/)(
/)(











Fermi-Dirac Distribution
1.0
0.0
EF
Probability of occupation
f(E)
Energy
Solution
TKEE
TKEE
TKEE
e
e
e
Ef
BF
BF
BF
TKEE
TKEE
TKEE
BF
BF
BF
20.2
20.2
)9ln(/)(
9110
1.0
1
1
1.0
1
1
)(
/)(
/)(
/)(











Ohm’s Law
 BvqF

 
 qFmvmomentum 
In an electric field  and magnetic field B, the force on an
electron of charge –q is
If B = 0,


m
q
v 
thus
collision time
Ohm’s Law


m
nq
qnvJ
2

m
nq 

2

The electric current density is
If we define the electrical conductivity as
J
then
Ohm’s Law
Hall Effect
JBRB
qn
J
qvBqF
H



0B
Hall coefficient
JBRB
qn
J
qvBqF
H



Quantum Statistics
A single quantum mechanical system consists of N particles
constrained to some volume V
assumption
1. weakly interacting particles
2. the particle density is low enough so that the
energy of the system can be considered as the sum of
the individual particle energies





1
ˆ
i
ii
s
ii
s
i
EnE
EH
wavefunction of particle s
number of particles with
energy Ei
Quantum Statistics
• How to determine the most probable distribution of
finding n1 particles out of a total of N with energy E1, n2
with energy E2, and so on?
The most probable distribution (n1, n2 …,ns,….) is the one
associated with the largest number of microscopically
distinguishable arrangements
Thus, the plan of attack would be to derive an expression for P,
the total number of microscopically distinct arrangement
corresponding to a given arbitraty sequence (n1, n2 …,ns,….) and
then find the particular sequence that maximizes P.
Three types of quantum particles
1. Identical but distinguishable particles
• harmonic oscillators
2. Identical indistinguishable particles of half-odd integral spin
(Fermions)
• electrons
• protons
3. Identical indistinguishable particles of integral spin (Bosons)
• photons
• phonons
The particles of concern to us fall into one of three categories
obey Pauli exclusion principle
Pauli exclusion principle not apply
N particle system
,.......,......,, 21 sEEE
Our model system is taken to contain N particles, each with a
spectrum of allowed energy levels
We divide the single-particle energy spectrum into energy “bins”.
Bin s, as an example, represents all the elementary quantum states
whose energies lie within some arbitrarily chosen interval Es
centered about Es. The number of quantum states in bin s is
denoted by gs.
Identical but distinguishable particles
  1
1
1
1
11
1
1
!!
!
nN
n
n
Cgor
nNn
Ng
P 


Determine P of N particles such that bin 1 contains n1 particles,
bin 2 n2 particles, and so on.
For bin 1, the total number of distinguishable choices is
For bin 2, the total number of distinguishable choices is
 
  21
2
2
2
212
12
2
!!
!
nnN
n
n
Cgor
nnNn
nNg
P 



Identical but distinguishable particles
the total number of distinguishable choices in which bin 1
contains n1 particles, bin 2 n2 particles, and so on, is
 





1
2121
!
!
........,....,....,,
s s
n
s
ss
n
g
N
PPPnnnP
s
Identical indistinguishable particles of half-
odd integral spin (Fermions)
  11
!!
!
111
1
1 ng Cor
ngn
g
P


Determine P of N particles such that bin 1 contains n1 particles,
bin 2 n2 particles, and so on.
For bin 1, the total number of distinguishable choices is
For bin 2, the total number of distinguishable choices is
  22
!!
!
222
2
2 ng Cor
ngn
g
P


Identical indistinguishable particles of half-
odd integral spin (Fermions)
the total number of distinguishable choices in which bin 1
contains n1 particles, bin 2 n2 particles, and so on, is
 
 

 


1
2121
!!
!
........,....,....,,
s sss
s
ss
nng
g
PPPnnnP
Identical indistinguishable particles of
integral spin (Bosons)
 
 !1!
!1
11
11
1



gn
gn
P
Determine P of N particles such that bin 1 contains n1 particles,
bin 2 n2 particles, and so on.
For bin 1, the total number of distinguishable choices is
For bin 2, the total number of distinguishable choices is
 
 !1!
!1
22
22
2



gn
gn
P
Identical indistinguishable particles of
integral spin (Bosons)
the total number of distinguishable choices in which bin 1
contains n1 particles, bin 2 n2 particles, and so on, is
 
 
 

 



1
2121
!!1
!1
........,....,....,,
s ss
ss
ss
ng
gn
PPPnnnP
Lagrange method
constEnE
constNn
s
ss
s
s








1
1
we wish to find the set of ns for which P is maximized
subjected to conditions :
We constrain our solution using Lagrange multipliers
forming the function:
  











 



 11
21 )ln(,.......,,
s
ss
s
ss nEEnNPnnnF 
Lagrange method
sallfor
n
F
s
0


0lnln  sss Eng 
For Identical but distinguishable particles
 s
s
s
E
g
n
 

exp
Maxwell-Boltzmann
Lagrange method
  0lnln  ssss Enng 
For Identical indistinguishable particles of half-odd integral
spin (Fermions)
  1exp 

s
s
s
E
g
n

Fermi-Dirac
Lagrange method
  0lnln  ssss Enng 
For Identical indistinguishable particles of half-odd integral
spin (Fermions)
  1exp 

s
s
s
E
g
n

Bose-Einstein
Energy Band
Electron in a metal can move freely in a straight path over many
atomic distances, undeflected by collisions with other conduction
electron or by collisions with the atom cores
Energy Band
),(ˆ),( trHtr
t
i 



For a general quantum system
(1)
For a single particle in three dimensions
),()(),(
2
),( 2
2
trrVtr
m
tr
t
i 

 
 (2)
Wave functionHamiltonian operator
Energy Band
nn
n
E
dx
d
m


 2
22
2

free electron gas
(3)
Energy of the electron
V(r)=0
Free Electron Model
Energy Band
0)( rVif
Considering a periodic potential, V(r+T)=V(r)
)()()(
2
)( 2
2
rrVr
m
rE 

(2) can be expressed as (4)
Energy Band
 

G
riG
GeUrV )(

G
iGx
GeUxV )(
The periodic potential V(r) may be expanded as a Fourier series
in the reciprocal lattice vectors G
or
(5)
For 1-D system
Thus, (4) can be rewritten as
)(
)(
2
)( 2
22
xeU
dx
xd
m
xE
G
iGx
G 

 

(6)
Energy Band







G k
xGki
kG
k
ikx
k
eCUxxV
eCk
mdx
xd
m
)(
2
2
2
22
)()(
2
)(
2


k
ikx
k eCx)(
The wavefunction Ψ(x) may be expressed as a Fourier series
summed over all values of the wavevector permitted by the
boundary conditions
then
(7)
Energy Band
  
k
ikx
k
G k
xGki
kG
ikx
k
k
eCEeCUeCk
m
)(2
2
2

From (6), we get
 
m
k
where
CUCE
k
G
GkGkk
2
0
22


  


Each Fourier component must have the same
coefficient on both sides of the equation
(8)
central equation
Energy Band
 

G
xGki
Gk
ikx
kk eCeCx )(
)(
Once we determine The Ck from central equation, the
Ψ(x) is given as
(9)
Rearrange (9), we get
)(
)()(
xueCwhere
exueeCx
k
G
iGx
Gk
ikx
k
ikx
G
iGx
Gkk














(10)
Energy Band
(Bloch Theorem)
)()(
)exp()()(
Truru
rikrur
kk
kk


The solutions of the Schrodinger equation for a periodic
potential must be of a special form
The eigenfunctions of the wave equation for a periodic potential
are the product of a plane wave exp(ik•r) times a function uk(r)
with the periodicity of the crystal lattice
(11)
Translation vector
Bloch theorem
Energy Band
(Kronig-Penney Model)





 

0
0
)(
xbDeCe
axBeAe
x QxQx
iKxiKx
a0-b
Uo
If V(x) is
The solutions for (2) are
where
m
K
EandmQEUo
2
2
22
22 
 
Energy Band
(Kronig-Penney Model)
)()(
00
00
DCQBAik
dx
d
dx
d
DCBA
xx
xx







The constants A,B,C,D are chosen so that Ψ and dΨ/dx are
continuous at x=0 and x=a
)(
)0()( baik
exbbaxa 

Bloch theorem
(12)
(13)
Energy Band
(Kronig-Penney Model)
 
    )(
)(
)(
)(
baikQbQbiKaiKa
baik
bxax
baikQbQbiKaiKa
baik
bxax
eDeCeQBeAeiK
e
dx
d
dx
d
eDeCeBeAe
e














(14)
(15)
Energy Band
(Kronig-Penney Model)
)(coscoscoshsinsinh
2
22
bakKaQbKaQb
QK
KQ


 oUb
and limlim
0
From (12)-(15), we can get
If the potential is a periodic delta function
kaKaKaKaP coscossin)/( 
Then, (16) can reduce to
(16)
(17)
P=Q2ba/2
Energy Band
(Kronig-Penney Model)
-6 -4 -2 0 2 4 6
-2
-1
0
1
2
3
4
5
6
P=3/2
(P/Ka)sin(Ka)+cos(Ka)
Ka ()
Not allowed
Energy Band
(Kronig-Penney Model)
Energy gap
(Ka that is not
allowed)
Band Structure
Actual band structures are usually exhibited as plots of energy
versus wavevector in the first Brillouin zone. This is helpful in
visualization and economical of graph paper.
2/a
Band Structure
/a 2/a 3/a
k
E
If the band structure of A is :
/a
k
E
Band Structure
k
E
Eg
k
E
Eg
k
E
Eg
Direct Indirect Overlap
(negative bandgap)
Bandgap – the difference in energy between the lowest point of the
conduction band the highest point of the valence band.
valence band
conduction band
Band Structure
band structure of Si
Energy Band
(conductor and insulator)
A band is filled from low energy to high energy
Energy Band
(conductor and insulator)
 A full band cannot conduct electricity. A full band is always a full
band no matter what the external field are
 An empty band cannot conduct electricity because it does not
have charge carrier.
Only a partially filled band can
conduct electricity. The
occupied states are not
“balance” under an external
field. This unbalance causes
the current flow.
Energy Band
(Equation of motion and effective mass)
2
2
2
11
dk
Ed
me 

The equation of motion of an electron in an energy
band is :
dtdk
Edm
dk
d
dt
d
m
dt
dv
m
dt
dv
m
dt
dk
F
e
ee
e
2











From (1), we can get
(1)
effective mass
)( BvEq
dt
dk
F  
Energy Band
(Equation of motion and effective mass)
)(
2
22
0 A
m
k
EE


Approximate solution near a zone boundary
(2)
From (1), we get
A
m
mthus
m
A
dk
Ed
e 
2
22
2
2
11 

(3)
An electron of mass m when put into a crystal respond to
applied fields as if the mass were me (effective mass)
Electron rest mass
Example
By determine the number of grid points
contained beneath the surface of radius nmax,
show that the Fermi energy (i.e. the energy of
the highest occupied state at T = 0K ) is given
by
.
3
2
3/222







V
N
m
EF

Each allowed quantum state can be represented by a grid point
(nx, ny, nz).Grid points with the same energy are connected by a
surface of constant radius. In order to determine the Fermi
energy, find the values of the radius nmax, just contains sufficient
states to accommodate all the valence electrons in the crystal
ny
nx
nz
nmax
Solution
• The volume contained beneath the surface
corresponds to one-eight of a sphere of radius
nmax, the volume is
• Each grid point corresponding to a cube of unit
volume, this expression also gives the number of
grid points beneath the surface.
• As each grid point corresponding to a state which
can accommodate two electrons for a crystal
containing N electrons we require N/2 states.
•
63
4
8
1
3
max3
max
n
n

 
3/1
max
3
max 3
62








 N
n
nN
Solution
• By writing
• Energy
  2/1222
max zyx nnnn 
 
3/2223/2
3
32
3/222
2
max
22
222
2222
3
2
3
2
3
22
22







































V
N
m
h
L
N
m
h
N
Lm
h
n
Lm
h
nnn
Lm
h
m
kh
E zyx






Thermal Conductivity in Metals
• Thermal conductivity of a Fermi gas is
where n is the electron concentration
k is the Boltzmann constant
T is the temperature
m is them mass of electron
and  is the collision time.
m
Tnk
lv
mv
Tnk
K F
F
el
33
22
2
22


Thermal Conductivity in Metals
• Do the electrons or phonons carry the greater
part of the heat current in a metal?
• In pure metals the electronic contribution is
dominant at all temperatures.
• In impure metals or in disordered alloys, the
electron mean free path is reduced by
collisions with impurities, and phonon
contribution may be comparable with the
electronic contribution.
Wiedemann-Franz law
• The Wisdemann-Franz law states that for
metals at not too low temperatures the ratio
of the thermal conductivity to the electrical
conductivity is directly proportional to
temperature, with the value of the constant of
proportionality independent of the particular
metal.
T
e
k
m
ne
m
Tnk
K
22
2
22
3
3 










Lorenz number L
• The Lorenz number L is defined as
• The value of
• This remarkable result involves neither n nor m.
• Experimental values of L at 0oC and 100oC are in
good agreement.
T
KL

.ohm/deg-watt1045.2
3
28
22








e
k
L

Experimental Lorenz numbers
L ×108 watt-ohm/deg2
Metal 0oC 100oC
Ag 2.31 2.37
Au 2.35 2.40
Cd 2.42 2.43
Cu 2.23 2.33
Mo 2.61 2.79
Pb 2.47 2.56
Pt 2.51 2.60
Su 2.52 2.49
W 3.04 3.20
Zn 2.31 2.33

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Free electron in_metal

  • 1. UEEP2024 Solid State Physics Topic 3 Free Electron in Metals
  • 2. Drude’s classical theory of Electrical Conduction • Drude assumed that a metal is composed of ions, which are stationary, and valence electrons, which are free to move. • If no voltage applied to the metal then at each collision the electron is deflected in a different direction so that the overall motion is quite random. • The valence electrons appears to be similar to the molecules in an idea gas. • The velocity of the electrons with mass m at temperature T is given by the equation where KB is the Boltzmann’s constant. TKmv B 2 3 2 1 2 
  • 3. Drude’s classical theory of Electrical Conduction • The mean free path  is the average distance that an electron travels between collisions. • The relaxation time  is the average time duration between collisions. • The mean speed of the electron • The speed of electron at room temperature is about 105 ms-1. • The mean free path is about 1 nm and the relaxation time about 10-14 s. .   v
  • 4. Drude’s classical theory of Electrical Conduction • When we apply an electric field to a sample, the electrons are attracted towards the positive end of the sample, a net flow of electrons in this direction. • If the electric field is E, then the force on each electron is eE. • Acceleration on each electron is . • Change in velocity • This quantity is called the drift velocity. em eE a  . em eE av   
  • 5. Drude’s classical theory of Electrical Conduction • Electron mobility µ =e/m. • The current density where n is the number of valence electrons per unit volume, • Conductivity of the metal is given by • Drube’s model is a) consistent with ohm’s law. b) Explain the phenomenon of electrical resistance. c) Gives good values of conductivity. .eEn A I J  .en 
  • 6. Failures of Classical model • Conductivity should be directly proportional to the valence electron concentration, not in good agreement with experimental data. • Electrical properties of alloys should be intermediate between the values of corresponding pure materials. However many alloys have resistivity which are considerably larger than those of either of the pure constituents. • The dependence of resistivity on temperature: Drube’s model predicted resistivity should be proportional to T1/2, experimental measurement show that resistivity is actually proportional to T over a wide range of temperature. • Drude ‘s model predict the molar specific heat capacity for monovalent metal of 9R/2, 6R for divalent metal and 15R/2 for trivalent metal. However, experiment results show that the molar specific heat capacity at room temperature is approximately 3R, regardless of the valency of the metal.
  • 7. Example Estimate the typical conductivity of a metal at 295 K assuming that the mean free path is about 1 nm and the number of valency electrons is about 1029 m-3.
  • 8. Solution • Thermal velocity • Relaxation time • Conductivity 15 31 23 1016.1 1011.9 )295)(1038.1(33        ms m Tk v B s v 15 5 9 1062.8 1016.1 101              117 31 15219292 1042.2 1011.9 1062.8106.110        m m ne  
  • 9. Free Electron Fermi Gas • Atoms bounded by “free electrons”. Good example is alkali metals (Li, K, Na, etc.) Electron in a metal can move freely in a straight path over many atomic distances, undeflected by collisions with other conduction electron or by collisions with the atom cores
  • 10. Free Electron Fermi Gas 1. A conduction electron is not deflected by ion cores arranged on a periodic lattice 2. A conduction electron is scattered only infrequently by other conduction electrons Consequence of the Pauli exclusion principle Free electron Fermi gas – A gas of free electrons subject to the Pauli principle
  • 11. Free Electron Fermi Gas ),(ˆ),( trHtr t i     For a general quantum system (1) For a single particle in three dimensions ),()(),( 2 ),( 2 2 trrVtr m tr t i      (2) Wave functionHamiltonian operator
  • 12. Free Electron Fermi Gas (1-D) nn n E dx d m    2 22 2  Consider a free electron gas in 1-D (electron of mass m is confined to a length L by infinite barriers), (2) can be expressed as With boundary conditions 0)(0)0(  Lnn (3) Energy of the electron
  • 13. Free Electron Fermi Gas (1-D) LnwherexA n n n           2 12 sin L n kwhere m k E n n n   2 22  The solution of (3) Energy En is given by wavevector 0 /L 2/L K-space k /L
  • 14. Free Electron Fermi Gas 3-D )()( 2 2 2 rEr m kkk   Consider a free electron gas in 3-D (electron of mass m is confined to a cube of edge L), (2) can be expressed as With boundary conditions 0)(0)0( 0)(0)0( 0)(0)0(    Lzz Lyy Lxx kk kk kk (4)
  • 15. Free Electron Fermi Gas (3-D) LnLnLn zzyyxx   2 1 , 2 1 , 2 1                      zyxA zyx k       2 sin 2 sin 2 sin The solution of (4) where (5)
  • 16. Free Electron Fermi Gas (3-D, periodic boundary conditions) • 3-D system • periodic boundary conditions ,..... 8 , 6 , 4 , 2 ,0,, LLLL kkk zyx   ),,(),,( ),,(),,( ),,(),,( zyxLzyx zyxzLyx zyxzyLx kk kk kk    The solution of (4)  rikArk  exp)( the components of k satisfy One allowed value of k per volume (2/L)3
  • 17. Free Electron Fermi Gas (3-D, periodic boundary conditions)  222 2 2 2 22 zyxk kkk m k m E   Energy Ek is given by K space (6)
  • 18. Free Electron Fermi Gas (density of state)   2/3 22 3 3 3 2 3/2 3/4 2         mEL L k N   total number of allowed energy state Density of states – number of allowed energy state per unit energy range 2/1 2/3 22 3 2 2 )( E mL dE dN ED         (7) (8)
  • 19. Free Electron Fermi Gas (Fermi energy) 3/2 3 22 3 2        L N m EF  The Fermi energy is defined as the energy of the topmost filled level in the ground state of the N electron system. The state of the N electron system at absolute zero From (7), we get For N electron system
  • 20. Free Electron Fermi Gas (Fermi-Dirac distribution) • The Fermi-Dirac distribution gives the probability that an energy state with energy E is occupied by an electron 1exp 1 )(        kT E Ef  The electron density is given by  dEEfEDn )()( Fermi level – the energy at which the probability of occupation is 1/2
  • 21. Example Show that the probability for an electron state at the Fermi energy is equal to 0.5 for all finite temperature.
  • 22. Solution • When E = EF, . 2 1 11 1 1 1 1 1 1 1 )( 0 /)(/)(           e ee Ef TKEETKEE BFFBF
  • 23. Example Using the Fermi-Dirac distribution, determine the values of energy corresponding to f = 0.9 and f = 0.1 at a temperature of 300 K.
  • 27. Ohm’s Law  BvqF     qFmvmomentum  In an electric field  and magnetic field B, the force on an electron of charge –q is If B = 0,   m q v  thus collision time
  • 28. Ohm’s Law   m nq qnvJ 2  m nq   2  The electric current density is If we define the electrical conductivity as J then Ohm’s Law
  • 30. Quantum Statistics A single quantum mechanical system consists of N particles constrained to some volume V assumption 1. weakly interacting particles 2. the particle density is low enough so that the energy of the system can be considered as the sum of the individual particle energies      1 ˆ i ii s ii s i EnE EH wavefunction of particle s number of particles with energy Ei
  • 31. Quantum Statistics • How to determine the most probable distribution of finding n1 particles out of a total of N with energy E1, n2 with energy E2, and so on? The most probable distribution (n1, n2 …,ns,….) is the one associated with the largest number of microscopically distinguishable arrangements Thus, the plan of attack would be to derive an expression for P, the total number of microscopically distinct arrangement corresponding to a given arbitraty sequence (n1, n2 …,ns,….) and then find the particular sequence that maximizes P.
  • 32. Three types of quantum particles 1. Identical but distinguishable particles • harmonic oscillators 2. Identical indistinguishable particles of half-odd integral spin (Fermions) • electrons • protons 3. Identical indistinguishable particles of integral spin (Bosons) • photons • phonons The particles of concern to us fall into one of three categories obey Pauli exclusion principle Pauli exclusion principle not apply
  • 33. N particle system ,.......,......,, 21 sEEE Our model system is taken to contain N particles, each with a spectrum of allowed energy levels We divide the single-particle energy spectrum into energy “bins”. Bin s, as an example, represents all the elementary quantum states whose energies lie within some arbitrarily chosen interval Es centered about Es. The number of quantum states in bin s is denoted by gs.
  • 34. Identical but distinguishable particles   1 1 1 1 11 1 1 !! ! nN n n Cgor nNn Ng P    Determine P of N particles such that bin 1 contains n1 particles, bin 2 n2 particles, and so on. For bin 1, the total number of distinguishable choices is For bin 2, the total number of distinguishable choices is     21 2 2 2 212 12 2 !! ! nnN n n Cgor nnNn nNg P    
  • 35. Identical but distinguishable particles the total number of distinguishable choices in which bin 1 contains n1 particles, bin 2 n2 particles, and so on, is        1 2121 ! ! ........,....,....,, s s n s ss n g N PPPnnnP s
  • 36. Identical indistinguishable particles of half- odd integral spin (Fermions)   11 !! ! 111 1 1 ng Cor ngn g P   Determine P of N particles such that bin 1 contains n1 particles, bin 2 n2 particles, and so on. For bin 1, the total number of distinguishable choices is For bin 2, the total number of distinguishable choices is   22 !! ! 222 2 2 ng Cor ngn g P  
  • 37. Identical indistinguishable particles of half- odd integral spin (Fermions) the total number of distinguishable choices in which bin 1 contains n1 particles, bin 2 n2 particles, and so on, is          1 2121 !! ! ........,....,....,, s sss s ss nng g PPPnnnP
  • 38. Identical indistinguishable particles of integral spin (Bosons)    !1! !1 11 11 1    gn gn P Determine P of N particles such that bin 1 contains n1 particles, bin 2 n2 particles, and so on. For bin 1, the total number of distinguishable choices is For bin 2, the total number of distinguishable choices is    !1! !1 22 22 2    gn gn P
  • 39. Identical indistinguishable particles of integral spin (Bosons) the total number of distinguishable choices in which bin 1 contains n1 particles, bin 2 n2 particles, and so on, is             1 2121 !!1 !1 ........,....,....,, s ss ss ss ng gn PPPnnnP
  • 40. Lagrange method constEnE constNn s ss s s         1 1 we wish to find the set of ns for which P is maximized subjected to conditions : We constrain our solution using Lagrange multipliers forming the function:                     11 21 )ln(,.......,, s ss s ss nEEnNPnnnF 
  • 41. Lagrange method sallfor n F s 0   0lnln  sss Eng  For Identical but distinguishable particles  s s s E g n    exp Maxwell-Boltzmann
  • 42. Lagrange method   0lnln  ssss Enng  For Identical indistinguishable particles of half-odd integral spin (Fermions)   1exp   s s s E g n  Fermi-Dirac
  • 43. Lagrange method   0lnln  ssss Enng  For Identical indistinguishable particles of half-odd integral spin (Fermions)   1exp   s s s E g n  Bose-Einstein
  • 44. Energy Band Electron in a metal can move freely in a straight path over many atomic distances, undeflected by collisions with other conduction electron or by collisions with the atom cores
  • 45. Energy Band ),(ˆ),( trHtr t i     For a general quantum system (1) For a single particle in three dimensions ),()(),( 2 ),( 2 2 trrVtr m tr t i      (2) Wave functionHamiltonian operator
  • 46. Energy Band nn n E dx d m    2 22 2  free electron gas (3) Energy of the electron V(r)=0 Free Electron Model
  • 47. Energy Band 0)( rVif Considering a periodic potential, V(r+T)=V(r) )()()( 2 )( 2 2 rrVr m rE   (2) can be expressed as (4)
  • 48. Energy Band    G riG GeUrV )(  G iGx GeUxV )( The periodic potential V(r) may be expanded as a Fourier series in the reciprocal lattice vectors G or (5) For 1-D system Thus, (4) can be rewritten as )( )( 2 )( 2 22 xeU dx xd m xE G iGx G      (6)
  • 49. Energy Band        G k xGki kG k ikx k eCUxxV eCk mdx xd m )( 2 2 2 22 )()( 2 )( 2   k ikx k eCx)( The wavefunction Ψ(x) may be expressed as a Fourier series summed over all values of the wavevector permitted by the boundary conditions then (7)
  • 50. Energy Band    k ikx k G k xGki kG ikx k k eCEeCUeCk m )(2 2 2  From (6), we get   m k where CUCE k G GkGkk 2 0 22        Each Fourier component must have the same coefficient on both sides of the equation (8) central equation
  • 51. Energy Band    G xGki Gk ikx kk eCeCx )( )( Once we determine The Ck from central equation, the Ψ(x) is given as (9) Rearrange (9), we get )( )()( xueCwhere exueeCx k G iGx Gk ikx k ikx G iGx Gkk               (10)
  • 52. Energy Band (Bloch Theorem) )()( )exp()()( Truru rikrur kk kk   The solutions of the Schrodinger equation for a periodic potential must be of a special form The eigenfunctions of the wave equation for a periodic potential are the product of a plane wave exp(ik•r) times a function uk(r) with the periodicity of the crystal lattice (11) Translation vector Bloch theorem
  • 53. Energy Band (Kronig-Penney Model)         0 0 )( xbDeCe axBeAe x QxQx iKxiKx a0-b Uo If V(x) is The solutions for (2) are where m K EandmQEUo 2 2 22 22   
  • 54. Energy Band (Kronig-Penney Model) )()( 00 00 DCQBAik dx d dx d DCBA xx xx        The constants A,B,C,D are chosen so that Ψ and dΨ/dx are continuous at x=0 and x=a )( )0()( baik exbbaxa   Bloch theorem (12) (13)
  • 55. Energy Band (Kronig-Penney Model)       )( )( )( )( baikQbQbiKaiKa baik bxax baikQbQbiKaiKa baik bxax eDeCeQBeAeiK e dx d dx d eDeCeBeAe e               (14) (15)
  • 56. Energy Band (Kronig-Penney Model) )(coscoscoshsinsinh 2 22 bakKaQbKaQb QK KQ    oUb and limlim 0 From (12)-(15), we can get If the potential is a periodic delta function kaKaKaKaP coscossin)/(  Then, (16) can reduce to (16) (17) P=Q2ba/2
  • 57. Energy Band (Kronig-Penney Model) -6 -4 -2 0 2 4 6 -2 -1 0 1 2 3 4 5 6 P=3/2 (P/Ka)sin(Ka)+cos(Ka) Ka () Not allowed
  • 58. Energy Band (Kronig-Penney Model) Energy gap (Ka that is not allowed)
  • 59. Band Structure Actual band structures are usually exhibited as plots of energy versus wavevector in the first Brillouin zone. This is helpful in visualization and economical of graph paper. 2/a
  • 60. Band Structure /a 2/a 3/a k E If the band structure of A is : /a k E
  • 61. Band Structure k E Eg k E Eg k E Eg Direct Indirect Overlap (negative bandgap) Bandgap – the difference in energy between the lowest point of the conduction band the highest point of the valence band. valence band conduction band
  • 63. Energy Band (conductor and insulator) A band is filled from low energy to high energy
  • 64. Energy Band (conductor and insulator)  A full band cannot conduct electricity. A full band is always a full band no matter what the external field are  An empty band cannot conduct electricity because it does not have charge carrier. Only a partially filled band can conduct electricity. The occupied states are not “balance” under an external field. This unbalance causes the current flow.
  • 65. Energy Band (Equation of motion and effective mass) 2 2 2 11 dk Ed me   The equation of motion of an electron in an energy band is : dtdk Edm dk d dt d m dt dv m dt dv m dt dk F e ee e 2            From (1), we can get (1) effective mass )( BvEq dt dk F  
  • 66. Energy Band (Equation of motion and effective mass) )( 2 22 0 A m k EE   Approximate solution near a zone boundary (2) From (1), we get A m mthus m A dk Ed e  2 22 2 2 11   (3) An electron of mass m when put into a crystal respond to applied fields as if the mass were me (effective mass) Electron rest mass
  • 67. Example By determine the number of grid points contained beneath the surface of radius nmax, show that the Fermi energy (i.e. the energy of the highest occupied state at T = 0K ) is given by . 3 2 3/222        V N m EF 
  • 68. Each allowed quantum state can be represented by a grid point (nx, ny, nz).Grid points with the same energy are connected by a surface of constant radius. In order to determine the Fermi energy, find the values of the radius nmax, just contains sufficient states to accommodate all the valence electrons in the crystal ny nx nz nmax
  • 69. Solution • The volume contained beneath the surface corresponds to one-eight of a sphere of radius nmax, the volume is • Each grid point corresponding to a cube of unit volume, this expression also gives the number of grid points beneath the surface. • As each grid point corresponding to a state which can accommodate two electrons for a crystal containing N electrons we require N/2 states. • 63 4 8 1 3 max3 max n n    3/1 max 3 max 3 62          N n nN
  • 70. Solution • By writing • Energy   2/1222 max zyx nnnn    3/2223/2 3 32 3/222 2 max 22 222 2222 3 2 3 2 3 22 22                                        V N m h L N m h N Lm h n Lm h nnn Lm h m kh E zyx      
  • 71. Thermal Conductivity in Metals • Thermal conductivity of a Fermi gas is where n is the electron concentration k is the Boltzmann constant T is the temperature m is them mass of electron and  is the collision time. m Tnk lv mv Tnk K F F el 33 22 2 22  
  • 72. Thermal Conductivity in Metals • Do the electrons or phonons carry the greater part of the heat current in a metal? • In pure metals the electronic contribution is dominant at all temperatures. • In impure metals or in disordered alloys, the electron mean free path is reduced by collisions with impurities, and phonon contribution may be comparable with the electronic contribution.
  • 73. Wiedemann-Franz law • The Wisdemann-Franz law states that for metals at not too low temperatures the ratio of the thermal conductivity to the electrical conductivity is directly proportional to temperature, with the value of the constant of proportionality independent of the particular metal. T e k m ne m Tnk K 22 2 22 3 3           
  • 74. Lorenz number L • The Lorenz number L is defined as • The value of • This remarkable result involves neither n nor m. • Experimental values of L at 0oC and 100oC are in good agreement. T KL  .ohm/deg-watt1045.2 3 28 22         e k L 
  • 75. Experimental Lorenz numbers L ×108 watt-ohm/deg2 Metal 0oC 100oC Ag 2.31 2.37 Au 2.35 2.40 Cd 2.42 2.43 Cu 2.23 2.33 Mo 2.61 2.79 Pb 2.47 2.56 Pt 2.51 2.60 Su 2.52 2.49 W 3.04 3.20 Zn 2.31 2.33