Lecture 3 OUTLINE Semiconductor Fundamentals (cont’d) – Thermal equilibrium – Fermi-Dirac...

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Lecture 3 OUTLINE • Semiconductor Fundamentals (cont’d) – Thermal equilibrium – Fermi-Dirac distribution • Boltzmann approximation Relationship between E F and n, p – Degenerately doped semiconductor Reading : Pierret 2.4-2.5; Hu 1.7-1.10

Transcript of Lecture 3 OUTLINE Semiconductor Fundamentals (cont’d) – Thermal equilibrium – Fermi-Dirac...

Lecture 3

OUTLINE• Semiconductor Fundamentals (cont’d)– Thermal equilibrium– Fermi-Dirac distribution• Boltzmann approximation

– Relationship between EF and n, p

– Degenerately doped semiconductor

Reading: Pierret 2.4-2.5; Hu 1.7-1.10

Thermal Equilibrium• No external forces are applied:– electric field = 0, magnetic field = 0– mechanical stress = 0– no light

• Dynamic situation in which every process is balanced by its inverse processElectron-hole pair (EHP) generation rate = EHP recombination rate

• Thermal agitation electrons and holes exchange energy with the crystal lattice and each other Every energy state in the conduction band and valence band

has a certain probability of being occupied by an electron

EE130/230M Spring 2013 Lecture 3, Slide 2

Analogy for Thermal Equilibrium

• There is a certain probability for the electrons in the conduction band to occupy high-energy states under the agitation of thermal energy (vibrating atoms).

Sand particles

EE130/230M Spring 2013 Lecture 3, Slide 3

Fermi Function

kTEE FeEf /)(1

1)(

EE130/230M Spring 2013 Lecture 3, Slide 4

• Probability that an available state at energy E is occupied:

• EF is called the Fermi energy or the Fermi level

There is only one Fermi level in a system at equilibrium.

If E >> EF :

If E << EF :

If E = EF :

Effect of Temperature on f(E)

EE130/230M Spring 2013 Lecture 3, Slide 5

Boltzmann Approximation

EE130/230M Spring 2013 Lecture 3, Slide 6

Probability that a state is empty (i.e. occupied by a hole):

kTEEF

FeEfkTEE /)()( ,3 If

kTEEF

FeEfkTEE /)(1)( ,3 If

kTEEkTEE FF eeEf /)(/)()(1

Equilibrium Distribution of Carriers• Obtain n(E) by multiplying gc(E) and f(E)

Energy banddiagram

EE130/230M Spring 2013 Lecture 3, Slide 7

Density ofStates, gc(E)

Probability ofoccupancy, f(E)

Carrier distribution, n(E)× =

cnx.org/content/m13458/latest

• Obtain p(E) by multiplying gv(E) and 1-f(E)

Energy banddiagram

EE130/230M Spring 2013 Lecture 3, Slide 8

Density ofStates, gv(E)

Probability ofoccupancy, 1-f(E)

Carrier distribution, p(E)× =

cnx.org/content/m13458/latest

Equilibrium Carrier Concentrations

EE130/230M Spring 2013 Lecture 3, Slide 9

• By using the Boltzmann approximation, and extending the integration limit to , we obtain

band conduction of top

cE

c(E)f(E)dEgn

2/3

2

*, /)( 2

2 where

h

kTmNeNn DOSnc

kTEEc

Fc

• Integrate n(E) over all the energies in the conduction band to obtain n:

EE130/230M Spring 2013 Lecture 3, Slide 10

• By using the Boltzmann approximation, and extending the integration limit to -, we obtain

1band valenceof bottom vE

v dEf(E)(E)gp

2/3

2

*, /)( 2

2 where

h

kTmNeNp DOSpv

kTEEv

vF

• Integrate p(E) over all the energies in the valence band to obtain p:

Intrinsic Carrier Concentration

2 / /)(

/)( /)(

ikTE

vckTEE

vc

kTEEv

kTEEc

neNNeNN

eNeNnpGvc

vFFc

2/ kTEvci

GeNNn

EE130/230M Spring 2013 Lecture 3, Slide 11

Si Ge GaAsNc (cm-3) 2.8 × 1019 1.04 × 1019 4.7 × 1017

Nv (cm-3) 1.04 × 1019 6.0 × 1018 7.0 × 1018

Effective Densities of States at the Band Edges (@ 300K)

n(ni, Ei) and p(ni, Ei)

• In an intrinsic semiconductor, n = p = ni and EF = Ei

/)(

/)(

kTEEic

kTEEci

ic

ic

enN

eNnn

/)(

/)(

kTEEiv

kTEEvi

vi

vi

enN

eNnp

/)( kTEEi

iFenn /)( kTEEi

Fienp

EE130/230M Spring 2013 Lecture 3, Slide 12

Intrinsic Fermi Level, Ei

• To find EF for an intrinsic semiconductor, use the fact that n = p:

2ln

4

3

2

ln22

*,

*,

/)( /)(

vc

DOSn

DOSpvci

ic

vvcF

kTEEv

kTEEc

EE

m

mkTEEE

EN

NkTEEE

eNeN vFFc

EE130/230M Spring 2013 Lecture 3, Slide 13

n-type Material

Energy banddiagram

Density ofStates

Probabilityof occupancy

Carrier distributions

EE130/230M Spring 2013 Lecture 3, Slide 14

Example: Energy-band diagramQuestion: Where is EF for n = 1017 cm-3 (at 300 K) ?

EE130/230M Spring 2013 Lecture 3, Slide 15

Example: Dopant Ionization

EE130/230M Spring 2013 Lecture 3, Slide 16

Probability of non-ionization

meVEn

NkTEE c

ccF 150ln

kTEE FDe /)(1

1

Consider a phosphorus-doped Si sample at 300K with ND = 1017 cm-3.

What fraction of the donors are not ionized?

Hint: Suppose at first that all of the donor atoms are ionized.

017.01

126/)45150(

meVmeVmeVe

p-type Material

Energy banddiagram

Density ofStates

Probabilityof occupancy

Carrier distributions

EE130/230M Spring 2013 Lecture 3, Slide 17

Non-degenerately Doped Semiconductor

EE130/230M Spring 2013 Lecture 3, Slide 18

• Recall that the expressions for n and p were derived using the Boltzmann approximation, i.e. we assumed

kTEEkTE cFv 33

Ec

Ev

3kT

3kT

EF in this range

The semiconductor is said to be non-degenerately doped in this case.

Degenerately Doped Semiconductor• If a semiconductor is very heavily doped, the Boltzmann

approximation is not valid.

In Si at T=300K: Ec-EF < 3kBT if ND > 1.6x1018 cm-3

EF-Ev < 3kBT if NA > 9.1x1017 cm-3

The semiconductor is said to be degenerately doped in this case.

• Terminology:

“n+” degenerately n-type doped. EF Ec

“p+” degenerately p-type doped. EF Ev

EE130/230M Spring 2013 Lecture 3, Slide 19

Band Gap Narrowing• If the dopant concentration is a significant fraction of

the silicon atomic density, the energy-band structure is perturbed the band gap is reduced by EG :

N = 1018 cm-3: EG = 35 meV

N = 1019 cm-3: EG = 75 meV

TNEG

300105.3 3/18

EE130/230M Spring 2013 Lecture 3, Slide 20

R. J. Van Overstraeten and R. P. Mertens, Solid State Electronics vol. 30, 1987

Dependence of EF on Temperature

kTEEc

FceNn /)( nNkTEE ccF ln

Net Dopant Concentration (cm-3)

EE130/230M Spring 2013 Lecture 3, Slide 21

Summary• Thermal equilibrium:– Balance between internal processes with no external

stimulus (no electric field, no light, etc.)

– Fermi function

• Probability that a state at energy E is filled with an electron, under equilibrium conditions.• Boltzmann approximation:

For high E, i.e. E – EF > 3kT:

For low E, i.e. EF – E > 3kT:

kTEE FeEf /)(1

1)(

kTEE FeEf /)()(

kTEEFeEf /)()(1 EE130/230M Spring 2013 Lecture 3, Slide 22

Summary (cont’d)• Relationship between EF and n, p :

• Intrinsic carrier concentration :

• The intrinsic Fermi level, Ei, is located near midgap.

/)( /)( kTEEi

kTEEv

FivF eneNp

/)( /)( kTEEi

kTEEc

iFFc eneNn

2/ kTEvci

GeNNn

EE130/230M Spring 2013 Lecture 3, Slide 23

Summary (cont’d)

EE130/230M Spring 2013 Lecture 3, Slide 24

• If the dopant concentration exceeds 1018 cm-3, silicon is said to be degenerately doped.– The simple formulas relating n and p exponentially to EF

are not valid in this case.

For degenerately doped n-type (n+) Si: EF Ec

For degenerately doped p-type (p+) Si: EF Ev