As demonstrated above, during an OFIT measurement a distortion of due
to oxide charges and due to the creation of defects during the low-level is
monitored. In order to analyze this distortion,
is determined to be the
lowest value of
at which no hysteresis is observed. The dataset
is then used to extrapolate the impact of oxide charges
down to the stress-level. It is not possible to obtain this information
from the stress pulse because of the contribution of both parts
and
. Quite remarkably, the data [78] can be fit by a quadratic
polynomial, consistent with our NBTI experiments where we also observe a
quadratic (
) dependence of the hole-trapping component [99, 18, 98].
The hole-trapping theory developed in [98] was applied to our data and
excellent agreement was obtained. The difference between the actual signal
(
) and the extrapolated curve in Fig. 5.15 and Fig. 5.16 finally gives
.
In Fig. 5.15 and Fig. 5.16 the extraction algorithm for and
is
demonstrated. Stress and relaxation pulse responses both consist of two branches,
one falling and one rising, as marked by arrows. In the falling branch,
varies from
to
. In the rising branch,
varies from
to
. Only pulses with constant
(or even without a hysteresis, i.e.
) can be used to create an extrapolation guess for higher
.
This ‘safe window’ ranges from
to
, where both branches are
indistinguishable.
The extracted components for different temperatures and frequencies are
given in Fig. 5.17. The additionally created oxide traps depend on
frequency as well as on temperature and clearly show
behavior.
The hysteresis due to additionally created traps
is independent of
frequency, but strongly dependent on temperature.