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.
Asample 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 temperatureT. 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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