117
3
Carrier Statistics
In Chapter 2, extensive discussion on quantum wells was held and how
analog-like continuous energy and momentum states get digitized was dis-
cussed. The analog-like continuous spectrum thus can be viewed as a collec-
tion of digitized quantum states with step-size miniscule compared to the
thermal energy as we go from one energy level to the next higher one. In this
chapter, the focus is on the lling of quantum states. The probability that
a quantum state is occupied is described by the Fermi–Dirac distribution
function. The carrier concentration is a multiplication of the effective density
of quantum states multiplied by the effective probability.
3.1 Fermi–Dirac Distribution Function
The probability f(E) that a quantum state of energy E is occupied is given
by [1,2]
fE
e
EE kT
FB
()
()/
=
+
1
1
(3.1)
where E
F
is the Fermi energy with the probability of occupation 1/2 at E = E
F
(see Appendix 3A for more discussion). This probability function is shown
in Figure 3.1. The placement of the Fermi energy with respect to the conduc-
tion band edge describes the degeneracy of the system. The degeneracy of a
carrier sample depends on the carrier concentration with respect to the DOS.
Asample is nondegenerate (ND) if the carrier concentration n
d
< N
cd
, where
d = 1, 2, 3 is the dimensionality of the nanoscale sample and N
cd
is the effec-
tive density of states (EDOS) for which an expression will be found later in
the chapter. On the other hand, when n
d
N
cd
, a sample is strongly degen-
erate. The three-dimensional (3D) conduction band edge E
co
is lifted by the
ground-state energy ε
o
in a quantum well, so the lifted conduction band edge
E
c
= E
co
+ ε
o
. The minimum energy of occupation is E
co
or E
c
in a quantum
well as no quantum states exist in the forbidden bandgap. In the Maxwell–
Boltzmann (ND) approximation, the 1 in the denominator of Equation 3.1 is
neglected as the Fermi energy E
F
is below E
co
as shown in Figure 3.1. In this
case, the reduced Fermi energy η = (E
F
E
co
)/k
B
T is negative. As a general
rule of thumb, the “1” in the denominator of Equation 3.1 is negligible if
118 Nanoelectronics
η < 3. Figure 3.1 shows that the conduction band E
F
< E
cND
and hence η < 0
for ND statistics. In the limit η < 3, the distribution follows the dashed line
of Figure 3.1, its tail tted with the exponential distribution given by
fE
e
e
EE kT
EE
kT
FB
FB
()
()/
()
≈=
−−
1
/
(3.2)
On the other hand, in the strongly degenerate regime, where the Fermi
energy is above the conduction band edge, the probability of occupa-
tion is 1 up to the Fermi energy level and zero above it. An extreme case
exists at T = 0 K when (E E
F
)/k
B
T for E > E
F
. This limit makes f(E) = 0.
As (E E
F
)/ k
B
T −∞, the probability of occupation is f(E) = 1. Figure 3.1
shows the conduction band E
F
> E
cD
and hence η > 0 for a degenerate statis-
tics. As shown by the solid line in Figure 3.1, the probability is 1 for every state
being occupied below the Fermi level and is 0 above it. Step-like distribution
at 0 K near the Fermi energy point smears out at a nite temperatureT. The
degenerate approximation is always valid in case the Fermi energy is well
above the conduction band edge.
3.2 Bulk (3D) Carrier Distribution
The carrier concentration is a function of probability f(E) and the DOS
between E and E + dE. The differential carrier concentration per unit volume
dn
3
between E and E + dE is given by
Fermi–Dirac
function at T = 0 K
Maxwell–Boltzmann
approximation
EE
cND
E
cD
1/2
f(E)
E
F
FIGURE 3.1
Fermi–Dirac distribution function as a function of energy. In the ND limit, the Fermi energy
is below the conduction band edge making the tail of the distribution (E > E
cND
) Maxwellian.
In the degenerate regime (E
cD
> E > E
F
), every state is occupied up to the Fermi level and every
state is empty above it at 0 K.

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