SlideShare a Scribd company logo
Homogeneous Semiconductors
• Dopants
• Use Density of States and Distribution
Function to:
• Find the Number of Holes and Electrons.
Energy Levels in Hydrogen Atom
Energy Levels for Electrons in a Doped Semiconductor
Assumptions for Calculation
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Density of States
(Appendix D)
Energy Distribution Functions
(Section 2.9)
Carrier Concentrations
(Sections 2.10-12)
GOAL:
• The density of electrons (no) can be found
precisely if we know
1. the number of allowed energy states in a small energy
range, dE: S(E)dE
“the density of states”
2. the probability that a given energy state will be
occupied by an electron: f(E)
“the distribution function”
no = bandS(E)f(E)dE
For quasi-free electrons in the conduction band:
1. We must use the effective mass (averaged over all directions)
2. the potential energy Ep is the edge of the conduction band (EC)
For holes in the valence band:
1. We still use the effective mass (averaged over all directions)
2. the potential energy Ep is the edge of the valence band (EV)
 2
1
2
*
2
2
2
1
)
( C
dse
E
E
m
E
S 











 2
1
2
*
2
2
2
1
)
( E
E
m
E
S V
dsh












Energy Band Diagram
conduction band
valence band
EC
EV
x
E(x)
S(E)
Eelectron
Ehole
note: increasing electron energy is ‘up’, but increasing hole energy is ‘down’.
 2
1
2
*
2
2
2
1
)
( C
dse
E
E
m
E
S 











 2
1
2
*
2
2
2
1
)
( E
E
m
E
S V
dsh












Reminder of our GOAL:
• The density of electrons (no) can be found
precisely if we know
1. the number of allowed energy states in a small energy
range, dE: S(E)dE
“the density of states”
2. the probability that a given energy state will be
occupied by an electron: f(E)
“the distribution function”
no = bandS(E)f(E)dE
Fermi-Dirac Distribution
The probability that an electron occupies an
energy level, E, is
f(E) = 1/{1+exp[(E-EF)/kT]}
– where T is the temperature (Kelvin)
– k is the Boltzmann constant (k=8.62x10-5 eV/K)
– EF is the Fermi Energy (in eV)
– (Can derive this – statistical mechanics.)
f(E) = 1/{1+exp[(E-EF)/kT]}
All energy levels are filled with e-’s below the Fermi Energy at 0 oK
f(E)
1
0
EF
E
T=0 oK
T1>0
T2>T1
0.5
Fermi-Dirac Distribution for holes
Remember, a hole is an energy state that is NOT occupied by
an electron.
Therefore, the probability that a state is occupied by a hole
is the probability that a state is NOT occupied by an electron:
fp(E) = 1 – f(E) = 1 - 1/{1+exp[(E-EF)/kT]}
={1+exp[(E-EF)/kT]}/{1+exp[(E-EF)/kT]} -
1/{1+exp[(E-EF)/kT]}
= {exp[(E-EF)/kT]}/{1+exp[(E-EF)/kT]}
=1/{1+ exp[(EF - E)/kT]}
The Boltzmann Approximation
If (E-EF)>kT such that exp[(E-EF)/kT] >> 1 then,
f(E) = {1+exp[(E-EF)/kT]}-1  {exp[(E-EF)/kT]}-1
 exp[-(E-EF)/kT] …the Boltzmann approx.
similarly, fp(E) is small when exp[(EF - E)/kT]>>1:
fp(E) = {1+exp[(EF - E)/kT]}-1  {exp[(EF - E)/kT]}-1
 exp[-(EF - E)/kT]
If the Boltz. approx. is valid, we say the semiconductor is non-degenerate.
Putting the pieces together:
for electrons, n(E)
f(E)
1
0
EF
E
T=0 oK
T1>0
T2>T1
0.5
EV EC
S(E)
E
n(E)=S(E)f(E)
Putting the pieces together:
for holes, p(E)
fp(E)
1
0
EF
E
T=0 oK
T1>0
T2>T1
0.5
EV EC
S(E)
p(E)=S(E)f(E)
hole energy
Finding no and po
 
 
2
/
3
2
*
/
2
/
3
2
*
2
(min)
0
2
2
...
]
/
)
(
exp[
2
2
1
)
(
)
(






















 









kT
m
N
where
kT
E
E
N
dE
e
E
E
m
dE
E
f
E
S
p
dsh
V
V
F
V
kT
E
E
Ev
V
dsh
Ev
Ev
p
F
 
 
2
/
3
2
*
/
2
/
3
2
*
2
(max)
0
2
2
...
]
/
)
(
exp[
2
2
1
)
(
)
(






















 








kT
m
N
where
kT
E
E
N
dE
e
E
E
m
dE
E
f
E
S
n
dse
C
F
C
C
kT
E
E
Ec
C
dse
Ec
Ec
F
the effective density of states
at EC
the effective density of states
at EV
Energy Band Diagram
intrinisic semiconductor: no=po=ni
conduction band
valence band
EC
EV
x
E(x)
n(E)
p(E)
EF=Ei
where Ei is the intrinsic Fermi level
nopo=ni
2
Energy Band Diagram
n-type semiconductor: no>po
conduction band
valence band
EC
EV
x
E(x)
n(E)
p(E)
EF
]
/
)
(
exp[
0 kT
E
E
N
n F
C
C 


nopo=ni
2
Energy Band Diagram
p-type semiconductor: po>no
conduction band
valence band
EC
EV
x
E(x)
n(E)
p(E) EF
]
/
)
(
exp[
0 kT
E
E
N
p V
F
V 


nopo=ni
2
A very useful relationship
kT
E
V
C
kT
Ev
Ec
V
C
V
F
V
F
C
C
g
e
N
N
e
N
N
kT
E
E
N
kT
E
E
N
p
n
/
/
)
(
0
0 ]
/
)
(
exp[
]
/
)
(
exp[











…which is independent of the Fermi Energy
Recall that ni = no= po for an intrinsic semiconductor, so
nopo = ni
2
for all non-degenerate semiconductors.
(that is as long as EF is not within a few kT of the band edge)
kT
E
V
C
i
i
kT
E
V
C
g
g
e
N
N
n
n
e
N
N
p
n
2
/
2
/
0
0





The intrinsic carrier density
kT
E
V
C
i
i
kT
E
V
C
g
g
e
N
N
n
n
e
N
N
p
n
2
/
2
/
0
0





is sensitive to the energy bandgap, temperature, and
(somewhat less) to m*
2
/
3
2
*
2
2 










kT
m
N dse
C
The intrinsic Fermi Energy (Ei)
]
/
)
(
exp[
]
/
)
(
exp[ kT
E
E
N
kT
E
E
N V
i
V
i
C
C 




For an intrinsic semiconductor, no=po and EF=Ei
which gives
Ei = (EC + EV)/2 + (kT/2)ln(NV/NC)
so the intrinsic Fermi level is approximately
in the middle of the bandgap.
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Higher Temperatures
Consider a semiconductor doped with NA ionized
acceptors (-q) and ND ionized donors (+q), do not assume
that ni is small – high temperature expression.
positive charges = negative charges
po + ND = no + NA
using ni
2 = nopo
ni
2/no + ND = no+ NA
ni
2 + no(ND-NA) - no
2 = 0
no = 0.5(ND-NA)  0.5[(ND-NA)2 + 4ni
2]1/2
we use the ‘+’solution since no should be increased by ni
no = ND - NA in the limit that ni<<ND-NA
Simpler
Expression
Temperature variation of some important “constants.”
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Homogeneous_Semiconductors0801c.ppt
Degenerate Semiconductors
1. The doping concentration is so
high that EF moves within a few kT
of the band edge (EC or EV).
Boltzman approximation not valid.
2. High donor concentrations cause
the allowed donor wavefunctions to
overlap, creating a band at Edn.
First only the high states overlap, but
eventually even the lowest state
overlaps.
This effectively decreases the
bandgap by
DEg = Eg0 – Eg(ND).
EC
EV
+ + + +
ED1
Eg0
Eg(ND)
for ND > 1018 cm-3 in Si
impurity band
Degenerate Semiconductors
As the doping conc. increases more, EF rises above EC
EV
EC (intrinsic)
available impurity band states
EF
DEg
EC (degenerate) ~ ED
filled impurity band states
apparent band gap narrowing:
DEg
* (is optically measured)
-
Eg
* is the apparent band gap:
an electron must gain energy Eg
* = EF-EV
Electron Concentration
in degenerately doped n-type semiconductors
The donors are fully ionized: no = ND
The holes still follow the Boltz. approx. since EF-EV>>>kT
po = NV exp[-(EF-EV)/kT] = NV exp[-(Eg
*)/kT]
= NV exp[-(Ego- DEg
*)/kT]
= NV exp[-Ego/kT]exp[DEg
*)/kT]
nopo = NDNVexp[-Ego/kT] exp[DEg
*)/kT]
= (ND/NC) NCNVexp[-Ego/kT] exp[DEg
*)/kT]
= (ND/NC)ni
2 exp[DEg
*)/kT]
Summary
non-degenerate:
nopo= ni
2
degenerate n-type:
nopo= ni
2 (ND/NC) exp[DEg
*)/kT]
degenerate p-type:
nopo= ni
2 (NA/NV) exp[DEg
*)/kT]

More Related Content

PPTX
Ch.4, The Semiconductor in Equilibrium
PPT
504678850-115116307-Density-of-States.ppt
PPT
Density of States and Fermi Energy Concepts.ppt
PDF
CHAPTER_3_P2 - Concentration Rev2.pdf
PPT
semiconductor_physics.ppt
PPTX
Lecture 2 - N & P type materials.pptx
PPT
SEMICONDUCTOR PHYSICS
PPT
Ch1 slides-1
Ch.4, The Semiconductor in Equilibrium
504678850-115116307-Density-of-States.ppt
Density of States and Fermi Energy Concepts.ppt
CHAPTER_3_P2 - Concentration Rev2.pdf
semiconductor_physics.ppt
Lecture 2 - N & P type materials.pptx
SEMICONDUCTOR PHYSICS
Ch1 slides-1

Similar to Homogeneous_Semiconductors0801c.ppt (20)

PPTX
Semiconductor
PDF
Modern Semiconductor Devices for Integrated Circuits 1st Edition Hu Solutions...
PPTX
Chapter 4a
PPTX
Physics of Semiconductor Devices.pptx
PPTX
semiconductor Physics.pptx
PPTX
Lecture 6
PDF
Chapter4 semiconductor in equilibrium
PPTX
Semiconductors Statistics for physics students.pptx
PDF
Semiconductors module iv-converted
PDF
Modern Semiconductor Devices for Integrated Circuits: Answers to Problems (1s...
PPTX
Solid state electronics
PDF
Basics of Band Structure and semiconductors.pdf
PDF
The Semiconductor in Equilibrium
PPTX
energy band diagram
PPTX
PRESENTATION ON CHARGE CARRIER CONCENTRATION-2.pptx
PPTX
Unit_2_Semiconductor_devices_NOTES1.pptx
PDF
Unit_2.pdf
PPTX
UNIT 4 Semiconductor Physics first year.pptx
PPTX
Slide for semiconductor for engineering materials.pptx
PPT
Density of States (DOS) in Nanotechnology by Manu Shreshtha
Semiconductor
Modern Semiconductor Devices for Integrated Circuits 1st Edition Hu Solutions...
Chapter 4a
Physics of Semiconductor Devices.pptx
semiconductor Physics.pptx
Lecture 6
Chapter4 semiconductor in equilibrium
Semiconductors Statistics for physics students.pptx
Semiconductors module iv-converted
Modern Semiconductor Devices for Integrated Circuits: Answers to Problems (1s...
Solid state electronics
Basics of Band Structure and semiconductors.pdf
The Semiconductor in Equilibrium
energy band diagram
PRESENTATION ON CHARGE CARRIER CONCENTRATION-2.pptx
Unit_2_Semiconductor_devices_NOTES1.pptx
Unit_2.pdf
UNIT 4 Semiconductor Physics first year.pptx
Slide for semiconductor for engineering materials.pptx
Density of States (DOS) in Nanotechnology by Manu Shreshtha
Ad

Recently uploaded (20)

PPTX
Foundation to blockchain - A guide to Blockchain Tech
PPT
introduction to datamining and warehousing
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PDF
Model Code of Practice - Construction Work - 21102022 .pdf
PPTX
Artificial Intelligence
PPTX
Safety Seminar civil to be ensured for safe working.
PPTX
OOP with Java - Java Introduction (Basics)
PPTX
Lecture Notes Electrical Wiring System Components
PPT
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
PDF
Digital Logic Computer Design lecture notes
PDF
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PDF
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
PPTX
additive manufacturing of ss316l using mig welding
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PDF
TFEC-4-2020-Design-Guide-for-Timber-Roof-Trusses.pdf
PDF
Automation-in-Manufacturing-Chapter-Introduction.pdf
PDF
R24 SURVEYING LAB MANUAL for civil enggi
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
PDF
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
Foundation to blockchain - A guide to Blockchain Tech
introduction to datamining and warehousing
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
Model Code of Practice - Construction Work - 21102022 .pdf
Artificial Intelligence
Safety Seminar civil to be ensured for safe working.
OOP with Java - Java Introduction (Basics)
Lecture Notes Electrical Wiring System Components
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
Digital Logic Computer Design lecture notes
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
Embodied AI: Ushering in the Next Era of Intelligent Systems
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
additive manufacturing of ss316l using mig welding
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
TFEC-4-2020-Design-Guide-for-Timber-Roof-Trusses.pdf
Automation-in-Manufacturing-Chapter-Introduction.pdf
R24 SURVEYING LAB MANUAL for civil enggi
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
Ad

Homogeneous_Semiconductors0801c.ppt

  • 1. Homogeneous Semiconductors • Dopants • Use Density of States and Distribution Function to: • Find the Number of Holes and Electrons.
  • 2. Energy Levels in Hydrogen Atom
  • 3. Energy Levels for Electrons in a Doped Semiconductor
  • 8. Density of States (Appendix D) Energy Distribution Functions (Section 2.9) Carrier Concentrations (Sections 2.10-12)
  • 9. GOAL: • The density of electrons (no) can be found precisely if we know 1. the number of allowed energy states in a small energy range, dE: S(E)dE “the density of states” 2. the probability that a given energy state will be occupied by an electron: f(E) “the distribution function” no = bandS(E)f(E)dE
  • 10. For quasi-free electrons in the conduction band: 1. We must use the effective mass (averaged over all directions) 2. the potential energy Ep is the edge of the conduction band (EC) For holes in the valence band: 1. We still use the effective mass (averaged over all directions) 2. the potential energy Ep is the edge of the valence band (EV)  2 1 2 * 2 2 2 1 ) ( C dse E E m E S              2 1 2 * 2 2 2 1 ) ( E E m E S V dsh            
  • 11. Energy Band Diagram conduction band valence band EC EV x E(x) S(E) Eelectron Ehole note: increasing electron energy is ‘up’, but increasing hole energy is ‘down’.  2 1 2 * 2 2 2 1 ) ( C dse E E m E S              2 1 2 * 2 2 2 1 ) ( E E m E S V dsh            
  • 12. Reminder of our GOAL: • The density of electrons (no) can be found precisely if we know 1. the number of allowed energy states in a small energy range, dE: S(E)dE “the density of states” 2. the probability that a given energy state will be occupied by an electron: f(E) “the distribution function” no = bandS(E)f(E)dE
  • 13. Fermi-Dirac Distribution The probability that an electron occupies an energy level, E, is f(E) = 1/{1+exp[(E-EF)/kT]} – where T is the temperature (Kelvin) – k is the Boltzmann constant (k=8.62x10-5 eV/K) – EF is the Fermi Energy (in eV) – (Can derive this – statistical mechanics.)
  • 14. f(E) = 1/{1+exp[(E-EF)/kT]} All energy levels are filled with e-’s below the Fermi Energy at 0 oK f(E) 1 0 EF E T=0 oK T1>0 T2>T1 0.5
  • 15. Fermi-Dirac Distribution for holes Remember, a hole is an energy state that is NOT occupied by an electron. Therefore, the probability that a state is occupied by a hole is the probability that a state is NOT occupied by an electron: fp(E) = 1 – f(E) = 1 - 1/{1+exp[(E-EF)/kT]} ={1+exp[(E-EF)/kT]}/{1+exp[(E-EF)/kT]} - 1/{1+exp[(E-EF)/kT]} = {exp[(E-EF)/kT]}/{1+exp[(E-EF)/kT]} =1/{1+ exp[(EF - E)/kT]}
  • 16. The Boltzmann Approximation If (E-EF)>kT such that exp[(E-EF)/kT] >> 1 then, f(E) = {1+exp[(E-EF)/kT]}-1  {exp[(E-EF)/kT]}-1  exp[-(E-EF)/kT] …the Boltzmann approx. similarly, fp(E) is small when exp[(EF - E)/kT]>>1: fp(E) = {1+exp[(EF - E)/kT]}-1  {exp[(EF - E)/kT]}-1  exp[-(EF - E)/kT] If the Boltz. approx. is valid, we say the semiconductor is non-degenerate.
  • 17. Putting the pieces together: for electrons, n(E) f(E) 1 0 EF E T=0 oK T1>0 T2>T1 0.5 EV EC S(E) E n(E)=S(E)f(E)
  • 18. Putting the pieces together: for holes, p(E) fp(E) 1 0 EF E T=0 oK T1>0 T2>T1 0.5 EV EC S(E) p(E)=S(E)f(E) hole energy
  • 19. Finding no and po     2 / 3 2 * / 2 / 3 2 * 2 (min) 0 2 2 ... ] / ) ( exp[ 2 2 1 ) ( ) (                                  kT m N where kT E E N dE e E E m dE E f E S p dsh V V F V kT E E Ev V dsh Ev Ev p F     2 / 3 2 * / 2 / 3 2 * 2 (max) 0 2 2 ... ] / ) ( exp[ 2 2 1 ) ( ) (                                 kT m N where kT E E N dE e E E m dE E f E S n dse C F C C kT E E Ec C dse Ec Ec F the effective density of states at EC the effective density of states at EV
  • 20. Energy Band Diagram intrinisic semiconductor: no=po=ni conduction band valence band EC EV x E(x) n(E) p(E) EF=Ei where Ei is the intrinsic Fermi level nopo=ni 2
  • 21. Energy Band Diagram n-type semiconductor: no>po conduction band valence band EC EV x E(x) n(E) p(E) EF ] / ) ( exp[ 0 kT E E N n F C C    nopo=ni 2
  • 22. Energy Band Diagram p-type semiconductor: po>no conduction band valence band EC EV x E(x) n(E) p(E) EF ] / ) ( exp[ 0 kT E E N p V F V    nopo=ni 2
  • 23. A very useful relationship kT E V C kT Ev Ec V C V F V F C C g e N N e N N kT E E N kT E E N p n / / ) ( 0 0 ] / ) ( exp[ ] / ) ( exp[            …which is independent of the Fermi Energy Recall that ni = no= po for an intrinsic semiconductor, so nopo = ni 2 for all non-degenerate semiconductors. (that is as long as EF is not within a few kT of the band edge) kT E V C i i kT E V C g g e N N n n e N N p n 2 / 2 / 0 0     
  • 24. The intrinsic carrier density kT E V C i i kT E V C g g e N N n n e N N p n 2 / 2 / 0 0      is sensitive to the energy bandgap, temperature, and (somewhat less) to m* 2 / 3 2 * 2 2            kT m N dse C
  • 25. The intrinsic Fermi Energy (Ei) ] / ) ( exp[ ] / ) ( exp[ kT E E N kT E E N V i V i C C      For an intrinsic semiconductor, no=po and EF=Ei which gives Ei = (EC + EV)/2 + (kT/2)ln(NV/NC) so the intrinsic Fermi level is approximately in the middle of the bandgap.
  • 38. Higher Temperatures Consider a semiconductor doped with NA ionized acceptors (-q) and ND ionized donors (+q), do not assume that ni is small – high temperature expression. positive charges = negative charges po + ND = no + NA using ni 2 = nopo ni 2/no + ND = no+ NA ni 2 + no(ND-NA) - no 2 = 0 no = 0.5(ND-NA)  0.5[(ND-NA)2 + 4ni 2]1/2 we use the ‘+’solution since no should be increased by ni no = ND - NA in the limit that ni<<ND-NA
  • 39. Simpler Expression Temperature variation of some important “constants.”
  • 45. Degenerate Semiconductors 1. The doping concentration is so high that EF moves within a few kT of the band edge (EC or EV). Boltzman approximation not valid. 2. High donor concentrations cause the allowed donor wavefunctions to overlap, creating a band at Edn. First only the high states overlap, but eventually even the lowest state overlaps. This effectively decreases the bandgap by DEg = Eg0 – Eg(ND). EC EV + + + + ED1 Eg0 Eg(ND) for ND > 1018 cm-3 in Si impurity band
  • 46. Degenerate Semiconductors As the doping conc. increases more, EF rises above EC EV EC (intrinsic) available impurity band states EF DEg EC (degenerate) ~ ED filled impurity band states apparent band gap narrowing: DEg * (is optically measured) - Eg * is the apparent band gap: an electron must gain energy Eg * = EF-EV
  • 47. Electron Concentration in degenerately doped n-type semiconductors The donors are fully ionized: no = ND The holes still follow the Boltz. approx. since EF-EV>>>kT po = NV exp[-(EF-EV)/kT] = NV exp[-(Eg *)/kT] = NV exp[-(Ego- DEg *)/kT] = NV exp[-Ego/kT]exp[DEg *)/kT] nopo = NDNVexp[-Ego/kT] exp[DEg *)/kT] = (ND/NC) NCNVexp[-Ego/kT] exp[DEg *)/kT] = (ND/NC)ni 2 exp[DEg *)/kT]
  • 48. Summary non-degenerate: nopo= ni 2 degenerate n-type: nopo= ni 2 (ND/NC) exp[DEg *)/kT] degenerate p-type: nopo= ni 2 (NA/NV) exp[DEg *)/kT]