Having exemplary investigated in the previous sections the basic characteristics of time and duty cycle dependence of degradation and recovery for a singe stress temperature (125 °C) and a single electric field
(6.3), we are going to extend the study
in the following to different stress conditions in order to draw fundamental conclusions on the temperature and field acceleration of NBTI. Following Eq. 3.1 and Eq. 3.2, the crucial parameters necessary to fully describe the
degradation branch (
) are the
pre-factor
corresponding to the
shift at
=
and the power-law exponent
representing the slope of the
degradation traces in a double-logarithmic plot
vs.
. On the other hand, the recovery branch
may be fully described by the recovery rate
alone,
provided the relaxation traces follow a logarithmic time dependence (
)).
In this section we study only the dynamics of degradation and recovery calculated from drain
current variations recorded at a gate voltage close to the threshold voltage of the device. In particular, we abstain from analyzing the evolution of the CP current for different stress temperatures. Since the energy range, profiled
during a CP measurement (
), depends on the analyzing temperature (cf.
Eq. 2.35), it could eventually lead to misleading conclusions, when comparing CP currents recorded at different
temperatures. Consider that so far the simple MSM procedure is constrained to the limitation that the stress temperature (
) has to equal the recovery temperature (
). A more elaborate procedure allowing to
overcome this constraint is presented in Chapter 6 which also includes a detailed discussion of the temperature dynamics of the CP
current.
All experiments discussed in this section are performed on different PMOS devices (SM6P/30/STD1). Due to the fact that the static OTF procedure is unfeasible on 30 HV devices and because of other drawbacks (discussed in
Section 3.1), we record the degradation dynamics by making use of the MSM technique, thereby accepting some ‘undefined’ recovery when
switching from the stress level (
) to the read-out bias (-1.1
). The MSM procedure is performed by interrupting the DC stress phase
once in a while for a short interval of time where the drain current is recorded with a stress-measurement delay is 10
at -1.1
which is close to the threshold voltage of the device. After a total stress
time of 6,000
has elapsed, a continuous recovery trace is measured for 1,000
in order to collect information on the recovery dynamics as well.
The first set of measurements addresses the temperature activation of the shift and recovery. For that seven devices were
stressed at the same oxide field of 5.5
applying different stress/recovery
temperatures ranging from -60 °C to 200 °C, which corresponds to the full temperature range of our thermo chuck.
Figure 3.10: Threshold voltage degradation (a) and recovery (b) recorded for different stress and recovery temperatures ranging from -60 °C to 200 °C (-60/50/100/125/150/175/200 °C),
the stress field being 5.5. The data points in (a) and (b) are
depicted as open symbols. The degradation branches in (a) are illustrated in a double-logarithmic plot because their evolution follows a power-law as indicated by the solid fit lines. The recovery branches in (b) are illustrated in a
semi-logarithmic time plot since their evolution follows a
dependence as in-
dicated by the solid fit lines.
Figure 3.11: Temperature dependent variation of the representative parameters of Fig. 3.10.
The values empirically describing the evolution of degradation are depicted in (a) (pre-factor ) and (b) (power-law exponent
). (a1) is an Arrhenius plot and (a2) is a
linear plot of
. In (b)
is found to be more or less independent
of the temperature, the error bars indicating the scattering of
caused by slight deviations of the data
points from the perfect power-law-like evolution. The recovery rate
, which describes the relaxation branch, is
depicted in (c). (c1) is an Arrhenius plot and (c2) is a linear plot of
.
The data illustrating degradation and recovery are depicted in
Fig. 3.10 (a), and (b), respectively. Fig. 3.10 (a) shows a power-law-like evolution of the degradation branch and Fig. 3.10 (b) a log-like evolution of the recovery traces. It is obvious that elevated temperatures cause larger degradation justifying the letter
‘T’ in NBTI.
For closer inspection, the data has been analyzed with respect to the temperature dependence of the coefficients describing the degradation ( and
) and the recovery branch (
). The results are given in Fig. 3.11. Actually, the dependence of
on T may be approximated either by an
Arrhenius law
with
=
as suggested by Schroder et al. [10] and by Kaczer et
al. [27, 73, 74] or by a polynomial fit of second-order. Following Kaczer et al., an exponential relationship between the pre-factor
and the stress temperature may be
explained by considerations regarding disorder controlled hydrogen diffusion kinetics. On the other hand, following Bindu et al. [75], a polynomial T-dependence may be explained by inelastic oxide hole trapping, where the
linear contribution is assumed to account for the temperature dependent enhancement of the surface hole concentration during stress and the quadratic contribution accounts for a multiphonon-emission process which is assumed to
govern threshold voltage degradation predominantly at low stress times.
As opposed to the pre-factor , the power-law exponent
is found to be temperature independent
which is clearly visible in Fig. 3.11 (b). The error bars consider the standard deviation of
from the proposed perfect
power-law-like evolution of the degradation branch. The small deviations are likely due to parasitic recovery occurring within the short time delay between removal of stress and the actual measurement (10
). It has to be emphasized that the observation of a temperature
independent power-law exponent is in contradiction to some proposed NBTI models in literature, where it has been suggested that at least the dynamics of interface state creation are supposed to produce temperature dependent
power-law exponents due to either dispersive hydrogen diffusion within the oxide [27, 73, 74] or (according to an alternative model) due to dispersive reaction kinetics [8] controlling hydrogen release from Si–H bonds at the interface.
We remark that those conclusions were drawn either from MSM experiments suffering from a considerably larger stress-measure delay than ours’ [12, 73] or from CP current measurements [8] which profile different ranges within the
silicon bandgap when performed at different temperatures, cf. Fig. 2.8. In agreement with our findings, Alam et al.
have demonstrated in [76] that the temperature dependence of the power-law exponent disappears (at least for thin oxide technologies) when applying the ‘recovery free’ OTF technique.
Fig. 3.11 (c1) and (c2) show the recovery rates as a function of T in an Arrhenius plot,
and in a linear plot, respectively. Within the time scale of our experiment
follows apparently a
dependence. Except for the
data recorded at -60 °C, the recovery rates are found to be only weakly temperature dependent, yielding a universal recovery rate of approximately -3.0
, similar to the one obtained for
the high–
device (HK2P/1.5/1) in Fig. 3.2. The evolution of the pre-factor
as a function of temperature may be
described best by a second-order polynomial fit (cf. Fig. 3.2 (c2)). The Arrhenius-like exponential approximation gives unsatisfactory results. Note that
the universal recovery rate of -3.0
does not necessarily imply that
recovery is generally temperature independent considering that the prior stress phase was performed at variable temperatures as well, leading to different points of origin of the individual recovery traces.
In order to study the phenomenon in a more sophisticated way, it would be highly expedient to have a technique available which allows to bring devices to the same degradation level (by stressing them under the same oxide field and temperature) but monitor their recovery at arbitrary relaxation temperatures. A tool being able to switch the device temperature with maximum precision within a minimum of time would have the power to overrule the so far strict constraint that the stress temperature has to equal the recovery temperature. Such a tool was found in the so-called ‘in-situ polyheater’ technique. The implementation, calibration and application of particularly designed polyheater was one of the main achievements of this PhD thesis, allowing to investigate the influence of temperature on NBTI degradation and recovery in an unprecedented manner. The technique is introduced and utilized in Chapter 6.
The second set of measurements addresses the field activation of degradation and its implication on recovery.
Again, seven different PMOS devices (SM6P/30/STD1) were stressed, however, this time a unique temperature of 100 °C was applied, but varying the stress field from 4.5
to 7.2
. The data illustrating
degradation and recovery are depicted in
Fig. 3.12 (a), and (b), respectively.
Figure 3.12: Threshold voltage degradation (a) and recovery (b) recorded at a temperature of 100 °C for different stress fields ranging from 4.5 to 7.2
(4.5/4.8/5.2/5.5/5.8/6.5/7.2
). The data points in (a) and (b) are
depicted as open symbols. The degradation branches in (a) are illustrated in a double-logarithmic plot because their evolution follows a power-law as indicated by the solid fit lines. An exception to the rule is the 7.2
data which begins to deviate consid-
erably from the power-law-like characteristic after 1,000
of stress. The recovery branches in (b) are illustrated in a semi-logarithmic
time plot since their evolution follows a
dependence as in-
dicated by the solid fit lines.
Figure 3.13: Field dependent variation of the representative parameters of Fig. 3.12
(100 °C; full symbols). Additional data for 200 °C (not given in Fig. 3.12) was added (open symbols).
The values empirically describing the evolution of the power-law-like degradation are depicted in (a) (pre-factor ) and (b) (power-law exponent
). (a1) is an exponential plot and (a2) is
a linear plot of
. In (b)
is found to be more or less independent
of the stress field, the error bars indicating the scattering of
caused by slight deviations of the data
points from the perfect power-law-like evolution. The recovery rate
, which describes the relaxation branch, is
depicted in (c). (c1) is an exponential plot and (c2) is a linear plot of
.
As already obtained previously for different stress temperatures, Fig. 3.12 (a) reflects a power-law-like evolution of the
degradation branch for different stress fields as well and Fig. 3.12 (b) the like evolution of the recovery
traces. An exception to the rule in found for the 7.2
data which begins to deviate
considerably from the power-law-like characteristic after 1,000
of stress, indicating the onset of a different degradation mechanism. At
elevated stress biases (fields) a larger amount of degradation is observed, justifying the letter ‘B’ in NBTI. An important difference to the temperature characteristics in Fig. 3.10 regards the shape of the recovery traces recorded at -1.1
after electrical stress at different fields. As opposed to the recovery
characteristics obtained for different temperatures, the recovery traces recorded at different stress fields become considerably steeper with increasing stress field. For example, the ‘175 °C at 5.5
’ data in Fig. 3.10 (b) and the ‘100 °C at 6.5
’ data in Fig. 3.12 (b) display similar degradation levels (
)
post stress, but recover with completely different relaxation rates
(175 °C at 5.5
:
;100 °C at
6.5
:
). The different relaxation
behavior indicates that elevated stress temperatures may generate defects providing much larger relaxation time constants than defects generated by elevated electric fields. Those defects created at high stress temperatures
(175 °C) and moderate electric fields (5.5
) obviously do not recover
significantly within our experimental time scale, although the recovery temperature itself is as large as well. This is a fundamental finding raising the question whether possibly more than one single defect type is involved in NBTI.
For closer inspection, the data has been analyzed with respect to the field dependence of the coefficients describing the degradation ( and
) and the recovery branch (
). Fig. 3.13 (a) reveals a considerable field dependence of the initial degradation rate (
). The full symbols reflect the analysis of
the 100 °C data whereas the open symbols show the 200 °C data (not given in Fig. 3.12).
Again, the development of with
may be approximated either in an
exponential manner (Arrhenius)
with
=
as suggested by
Schroder et al. [10] or by a polynomial fit of second-order as suggested by Grasser et al. and Bindu et al. [53, 75]. Note that the ‘electric field factor’
in Fig. 3.13 (a1) is identically for 100 °C and 200 °C. The polynomial field dependence in Fig. 3.13 (a2) may be explained when assuming inelastic hole trapping during the early stages of stress: The quadratic
dependence is then reflected by the
field dependence of the
multiphonon-emission process while the linear contribution accounts for the linear field dependence of the surface hole concentration.
Similar to the observations at different stress temperatures, the power-law exponent is found to be widely field-independent
which is clearly visible in Fig. 3.12 (b) (full symbols 100 °C; open symbols 200 °C) and consistent
with the bulk of literature [77, 76, 8, 78]. The result is, however, in contradiction to the work of Reisinger et al. [15] who reported a decrease of
for similar thick oxide devices (7 –
15
) in the stress field range of 3.0
to 6.0
.
Fig. 3.13 (c1) and (c2) show the recovery rates as a function of
in an Arrhenius plot, and in a linear plot,
respectively. As opposed to the variable temperature experiment, the recovery rates recorded after NBTS at different stress fields are found to be exponentially stress bias dependent giving a similar temperature independent ‘electric
field factor’
of 0.54
as obtained during stress
(
=
), cf. Fig. 3.12 (c1). The recovery rates may be approximated by a polynomial fit of second-order as well, cf. Fig. 3.12 (c2). The larger the stress bias, the steeper the recovery slope, indicating that a larger amount of defects having time constants
within the time scale of our experiment are activated during stress, and anneal during recovery, respectively. The evolution of
shows apparent similarities to the
evolution of
, suggesting a symmetry of stress and
relaxation when investigating NBTI at different stress fields but at a single stress/relaxation temperature. This symmetry is violated when introducing a different stress temperature (i.e. 200 °C), cf. open symbols).
While the recovery rate
remains independent of temperature,
the degradation rate
shows an offset at elevated stress
temperatures. This indicates that there might be a quasi-permanent contribution of degradation which becomes activated during stress but does not recover within the time scale of our experiment.
In the previous subsections the recovery branch was found to follow a dependence with
being the recovery rate per decade. This
behavior was, however, so far only demonstrated for the cases where the stress time considerably exceeds the recovery time (
). To elaborate
whether the recovery changes its characteristic time dependence for
and whether a
permanent offset remains after long relaxation times is subject of this subsection.
In order to address this question, we have stressed a PMOS device at 200 °C and 5.5 for a short time of only 1
and subsequently monitored its recovery for 50,000
at -1.1
. The result of this experiment is illustrated in Fig. 3.14. Following Fig. 3.14, we clearly observe two different recovery rates, indicating the presence of at least two different kinds of defects with
considerably different relaxation time constants. The first is dominant within a 10
lasting period after terminating stress (
) and has a similar
magnitude as obtained in previous experiments (-1.8
). Between 10
and 1,000
the recovery slope levels off considerably toward a value
of only -0.08
.
Complete stabilization of the threshold voltage shift could not be obtained even after 50,000 of recovery. A final, ‘quasi-permanent’ degradation plateau of
approximately 1.0
remains. We call the remaining degradation plateau ‘quasi-permanent’
since it is not completely constant but shows considerable slower relaxation dynamics compared to the initial steep recovery branch.