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Subsections
5. Material Investigations
AN OUTLOOK of the behavior of higher-order macroscopic
transport parameters in the bulk regime of semiconductor alloys such as Silicon-Germanium
(SiGe) and Gallium Arsenide (GaAs) is given. Investigations concerning the closure relation of
the six moments model using the MC method are carried out.
So far in this work, all transport investigations have been
performed for Si. However, for instance in high-frequency devices such as high electron
mobility transistors (HEMTS) the basic semiconductor material is
GaAs. Therefore, for engineering applications, an accurate macroscopic description of
carrier transport in other materials is of substantial importance.
With the developed MC based transport parameter model it is possible to
characterize higher-order transport models in these materials with as few approximations as
possible. Hence, a study of higher-order parameters in these
material systems is very crucial. In order to describe 3D bulk higher-order
macroscopic transport models in materials as SiGe [164,165,166] and GaAs [167], the
relaxation times as well as the higher-order mobilities are extracted as a
function of the kinetic energy of the carriers and as functions of the lateral
electric field, respectively.
With increasing Ge fraction up to
in Si, the values of higher-order mobilities decrease, due to
the increase of alloy scattering as visualized
in Fig. 5.1. Here, the mobilities
,
, and
are presented as a function of the
electric field for a doping concentration of
,
, and
, respectively and
for a Ge composition in Si of
and
. A non-parabolic band structure has been assumed.
As pointed out the mobilities of
Ge fraction are
higher than the mobilities of
. For high-fields the values of the mobilities yield more or less the same results, while for low fields
a significant splitting especially in the
Ge fraction case
between the highly doped and the lowly doped concentration is visible.
Figure 5.1:
Carrier mobility and higher-order mobilities for a
and
Ge composition, respectively as a function of the
lateral electric field. Ge has got a deep influence on the mobilities for low fields,
while for high-fields the influence of Ge on the mobilities decreases.
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The energy flux and the second-order energy flux mobilities are for low doping
concentrations lower than the carrier mobility. However, as can be seen, for
increasing doping concentrations the higher-order mobilities together with
are practically equal. Such a behavior is also typical for Si (see Fig. 2.1).
The carrier mobility together with the higher-order mobilities for low fields
as a function of the Ge composition are given in Fig. 5.2. The carrier mobility
shows a very good agreement with the mobility data
from [8]. All mobilities have a minimum at
Ge, while a high increase of the mobility values at a Ge
composition greater than
can be observed. For pure Ge the mobilities
are very high.
Figure 5.2:
Low field carrier mobility together with higher-order mobilities as a
function of the Ge composition. The carrier mobility fits the
data from [8] quite well. The minimum of the mobilities is at
, while a high increase of the mobility values can be
observed for Ge composition greater than
.
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In Fig. 5.3, the energy relaxation time and the second-order
relaxation time are given for
different Ge fractions as a function of the carrier kinetic energy.
As can be observed, the energy relaxation time for
the
Ge case is lower than for the
Ge
case, which is an indication of the higher optical phonon scattering rate in
the
Ge case compared to the
Ge.
Figure 5.3:
The energy relaxation time (left) and the second-order relaxation time
(right) for a Ge mole fraction of
and
as a function of
the carrier energy. For the
Ge case the relaxation times are lower than
for the
Ge case.
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Figure 5.4:
Carrier velocities for different doping concentrations as a function of the electric field and for
different Ge compositions. For high fields the velocities are
independent of the doping concentrations, while the
velocities for low Ge compositions are higher than for the
case.
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The velocities for the same doping concentrations as for the
higher-order transport parameters are shown in Fig. 5.4.
For high electric fields the values of the velocities are independent of the doping
concentrations, while their maximum values are reduced in the
Ge case. For Ge composition higher
than
the velocity would increase, due to the rise of the
carrier mobility for Ge composition greater than
as can be
seen in Fig. 5.2.
Figure 5.5:
Kurtosis for a
structure for Si and
SiGe. In the channel region the kurtosis of SiGe is higher than in Si, while
the kurtosis of Si exceeds the one of SiGe at the beginning of the drain
region.
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The kurtosis of a
channel length
structure is presented
in Fig. 5.5 for pure Si and for SiGe with a Ge composition
of
. An electric field of
in the middle
of the channel has been applied. As can be observed in the channel, the kurtosis of the
Ge case
is approximately 0.85, while the kurtosis in the Si case is
0.8. The maximum values at the beginning of the drain region is 1.4 in Si
and 1.3 in SiGe, respectively. The kurtosis in
Ge is closer
to unity than for the Si case, which is an indication that
the carrier distribution function of
Ge is closer to a
heated Maxwellian than in pure silicon. This is also visible in Fig. 5.6.
Figure 5.6:
Sixth moment obtained by MC simulations divided by the expression
from equation (1.124) for different values of
. The value
2.7 is also a very good choice in SiGe and is even improved compared to Si.
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Next, investigations concerning the empirical factor
of the closure relation of the six
moments model in SiGe are carried out. The sixth moment from MC simulations divided by the analytical
expressions (1.124) is shown in Fig. 5.6. The
lower order moments from equation (1.124) has been used from MC. It has been demonstrated that
the value
is as well the best choice in SiGe and is even
improved compared to the Si case, which is also pointed out in Fig. 5.6.
The carrier mobility together with the higher-order mobilities are presented
in Fig. 5.7. As demonstrated,
is very high for a doping
concentration of
compared to Si, which makes GaAs
very attractive for high electron mobility transistors
(HEMT) [168,169,167,170,171]. Lower values of
and
can be observed for doping concentrations of
and
, while
for high doping concentrations, the values of all three mobilities are comparable.
Figure 5.7:
Carrier mobility and higher-order mobilities for GaAs as a function of
the lateral electric field. The
values of the mobilities are very high with respect to the ones for Si.
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The energy relaxation time and the second-order energy relaxation time for
different dopings as a function of the kinetic energy is presented
in Fig. 5.8. As depicted, the value of
is higher than in Si
or SiGe and the peak corresponds to the kinetic energy
of
.
Figure 5.8:
Energy relaxation time and the second-order relaxation time for GaAs obtained for different doping concentrations as a function of
the kinetic energy. The energy relaxation time has its
maximum at
, while the shape of the second-order energy
relaxation time is completely different compared to the energy relaxation time.
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Different relaxation times can be observed for
different doping concentrations for energies below
,
while for high kinetic energies
and
are doping
concentration independent. Note that the shape of
and
is
different compared to Si and SiGe, where these values are more or less
equal.
Figure 5.9:
The carrier velocity for different doping concentrations as a function of
the driving field. For a field of
the carrier velocity
has its maximum, while for high fields the velocity decreases.
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The reason of the strong decrease of the relaxation times at
is the transition of the carriers from the light effective
mass valley (
-valley) to the heavy effective mass (L-valley).
In Fig. 5.9 the velocity for doping concentrations of
,
, and
are plotted as a function of the driving
field. This velocity behavior in GaAs can be explained in a two valley
picture [9] similar to the shape of the relaxation times as
demonstrated in Fig. 5.10. Here the valleys around the
and
L points of GaAs are shown. The
-valley and the L-valley have effective
masses of
and
,
respectively. Due to the light effective mass, the carrier mobility of the
valley is high, while the mobility decreases in the L-valley due to the heavy
mass. Such a behavior related to different effective masses in each valley of GaAs leads to the decrease of carrier
velocity for high fields as demonstrated in Fig. 5.9. However, the
maximum carrier velocity in GaAs is more or less twice as high as in Si and
therefore the kinetic energy of the carriers is four times larger than in Si.
This is also reflected in Fig. 5.11.
Figure 5.10:
- and L-valleys of GaAs are shown. For low fields the carriers
are in the light hole
-valley, while for high-fields the carriers
are in the upper heavy hole valleys, decreasing the carrier velocity
(after [9]).
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Here, the kurtosis of a
structure with a channel length of
in GaAs and Si is given. As can be observed, the kurtosis in GaAs is
higher in the channel and at the beginning of the drain region than in Si,
which is an indication of the higher influence of the energies in GaAs on the distribution
function than in Si. This is depicted in Fig. 5.12.
Here, the closure relation investigations of the six moments model concerning the
empirical factor
of equation (1.124) is shown and compared
to the Si case. As can be observed
is also a very good
choice for
in GaAs.
Figure 5.11:
Kurtosis profile of the
structure with a channel length of
of GaAs and Si. The kurtosis at the end of the
channel is lower in GaAs than in Si, while the kurtosis of GaAs is beyond Si
at the beginning of the drain region.
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Figure 5.12:
Sixth moment obtained by MC simulations divided by the analytical expression
from equation (1.124) for different values of
. The
lower-order moments for equation (1.124) have been taken from
MC simulations. Note that
is also a good choice in GaAs.
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Next: 6. Summary and Conclusion
Up: Dissertation Martin-Thomas Vasicek
Previous: 4. Subband Macroscopic Models
M. Vasicek: Advanced Macroscopic Transport Models