Microelectronic Engineering 88 (2011) 1388–1391
Contents lists available at ScienceDirect
Microelectronic Engineering
journal homepage: www.elsevier.com/locate/mee
On the impact of the Si passivation layer thickness on the NBTI of nanoscaled
Si0.45Ge0.55 pMOSFETs
J. Franco a,b,⇑, B. Kaczer a, M. Toledano-Luque a,c, Ph. J. Roussel a, P. Hehenberger d, T. Grasser d, J. Mitard a,
G. Eneman a,b,e, L. Witters a, T.Y. Hoffmann a, G. Groeseneken a,b
a
Imec, Kapeldreef 75, 3001 Leuven, Belgium
ESAT, Katholieke Universiteit Leuven, Belgium
Dpto. Física Aplicada III, Universitad Complutense Madrid, Spain
d
Technische Universität Wien, Austria
e
FWO-Vlaanderen, Belgium
b
c
a r t i c l e
i n f o
Article history:
Available online 30 March 2011
Keywords:
NBTI
SiGe
Si
Cap
pMOSFET
Passivation
Reliability
a b s t r a c t
The negative bias temperature instability (NBTI) of nanoscaled Si0.45Ge0.55 pFETs with different thicknesses of the Si passivation layer (cap) is studied. Individual discharge events are detected in the measured threshold voltage shift (DVth) relaxation traces, with exponentially distributed step heights. The
use of a thinner Si cap is shown to reduce both the average number of charge/discharge events and
the average DVth step height. To qualitatively explain the experimental observations, a simple model
including a defect band in the dielectric is proposed.
Ó 2011 Elsevier B.V. All rights reserved.
1. Introduction
2. Experimental
We have recently shown that SiGe pMOSFETs with buried channel architecture can alleviate the NBTI issue for ultra-thin EOT devices [1]. A crucial impact of the Si cap thickness was found, with
thinner Si caps significantly improving the reliability, possibly by
reducing the interaction between channel carriers and dielectric
defects thanks to a favorable Fermi level alignment shift [2,3]. This
allowed us to demonstrate 6 Å EOT Si0.45Ge0.55 pFETs with a
10 year lifetime at operating VDD of 1 V [2]. However, those studies
were performed on large area test devices, as customary for standard NBTI studies. Recent works have shown that as device geometries scale toward atomistic dimensions both the fresh device
parameters and the parameter shifts during device operation become statistically distributed. At the same time, individual
charge/discharge events become visible in the Vth transients, providing a new way to study oxide trap properties [4–7]. For these
reasons, in this work we focus on the NBTI of nanoscaled
Si0.45Ge0.55 pFETs, looking in particular into the impact of different
Si cap thicknesses.
Si0.45Ge0.55 pFETs with metallurgic length L 35 nm (drawn
L = 70 nm) and width W = 90 nm were used in this study. The device gate stack (Fig. 1) consisted of a Si cap with three different
thicknesses in the range of 0.65–2 nm (as grown), a SiO2 interfacial
layer (0.8 nm), an HfO2 dielectric (1.8 nm), and a metal gate.
More information on the process can be found in [8]. Up to 160
nominally identical devices were used for the statistical studies.
⇑ Corresponding author at: Imec, Kapeldreef 75, 3001 Leuven, Belgium.
E-mail address: jacopo.franco@imec.be (J. Franco).
0167-9317/$ - see front matter Ó 2011 Elsevier B.V. All rights reserved.
doi:10.1016/j.mee.2011.03.065
3. Results and discussion
A representative set of typical NBTI relaxation transients recorded with the extended measure-stress-measure (eMSM) technique [9] on nanoscaled SiGe devices is shown in Fig. 2a. As
previously reported for Si devices [4,5], the total DVth observed
after the same NBTI stress strongly varies from device to device.
Single discharge events are visible, and the DVth step heights are
exponentially distributed (Fig. 2b, complementary cumulative distribution function, CCDF 1-CDF) [5]. Several single discharge
events are observed causing DVth as large as 20 mV. The step
heights and the trap emission times are uncorrelated (not shown),
as observed in [5] for the case of RTN, confirming that charge emission does not follow a simple elastic model [10]. While for large
area devices the total DVth depends on the stress time (Fig. 3a)
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J. Franco et al. / Microelectronic Engineering 88 (2011) 1388–1391
MG
HfO2
SiO2 IL
Si cap 0.65-2nm
(as grown)
SiGe 55%, 5nm
Si
Fig. 1. Gate stack of the SiGe devices under test. Gate metallurgic length L was
35 nm (drawn L = 70 nm), while gate width was 90 nm.
and on the stress gate overdrive voltage, for nanoscaled device the
average number of discharge events per single stressed device is
observed to follow similar dependences (Fig. 3b). A thinner Si cap
on SiGe pFETs was found to strongly reduce the large area device
DVth at fixed stress oxide electric field (Fig. 4a). In a similar way,
a thinner Si cap causes a strong reduction of the average number
of DVth steps (i.e. trapped charges) in nanoscaled devices (Fig. 4b,
different stress conditions w.r.t. Fig. 4a). It is also worth noticing
that the very small number of discharge events observed complicates the study, requiring large sample sets to get reliable statistics.
606
−ΔVth [mV]
1
70x90 nm2, 41x devices
Si0.45Ge0.55/Si cap 2nm
(a)
T=25˚C
tstress =132s
VGstress=-2V
Vth0=-0.14V
505
404
303
70x90 nm2, 41x devices
Si0.45Ge0.55/Si cap 2nm
T=25˚C
tstress=132s
VGstress=-2V
Vth0=-0.14V
0.1
CCDF
707
Moreover, the CCDFs of the step heights for different Si cap
thicknesses reveal that a thinner cap causes a reduction of the
average step height (g) as shown in Fig. 5 (g = 3.9 mV for a 2 nm
Si cap and g = 1.8 mV for a 0.65 nm Si cap). As shown in Fig. 6, this
observation is confirmed at several stress equivalent oxide electric
fields (Eox). Moreover, the observed g values are significantly lower
w.r.t. the values previously observed for Si devices with similar
gate stack (Si Ref. data from [5], g = 4.8–5.7 mV). Hence, the use
of a thin Si cap on a SiGe channel reduces both the average number
of steps and the average DVth step height after NBTI stress, confirming to be extremely beneficial also for the nanoscaled device
reliability.
A possible model to explain the experimental observations relies on the existence of a defect band in the dielectric at a narrow
energy level, e.g. in the SiO2 at Ev_Si 0.4 eV, as observed in [10]. As
depicted in Fig. 7, the Fermi level in the SiGe channel determines
which part of the defect band will be accessible to channel holes.
I.e. for a thin Si cap only a small part of the defect band located
on the gate side of the dielectric is accessible, while the larger voltage drop on a thicker Si cap lowers the Fermi level making more
defects accessible to channel holes. This interpretation qualitatively agrees with the higher average number of trapped charges
observed for devices with a thicker Si cap. Moreover, the additionally accessed defects, being located nearer to the channel, shift the
centroid (xt in Fig. 7) of the total trapped charge closer to the channel, explaining the observed higher g (Fig. 5) [11].
0.01
202
−
from [5] :
= −
101
(b)
00 2
10-2
1
10-1
0
1
100
101
0.001
0
2
102
5
t relax [s]
10
15
20
25
Single Charge −ΔVth [mV]
Fig. 2. (a) NBTI relaxation transients recorded on nanoscaled SiGe devices (measurement noise was filtered out), with visible single discharge events. (b) The complementary
cumulative distribution function (CCDF 1-CDF) shows the DVths per single discharge event are exponentially distributed.
VGstress-Vth0:
-1.375
− ΔVth [V]
-1.5
-1.625
-1.75
0.1
10
10x1 μm2
Si0.45Ge0.55/Si cap 2nm
∠ ≈ 0.13
(a)
T=125˚C, tmeasure=2ms
0.01
1
10
100
t stress [s]
1000
10000
< # of steps per device >
1
(b)
∠≈
1
VGstress:
0.1
0.01
T=25˚C
Vth0=-0.14V
90x70 nm2
Si0.45Ge0.55/Si cap 2nm
-1.5V
-1.75V
-2V
-2.25V
0.1
0.13
1
10
100
1000
t stress [s]
Fig. 3. (a) For large-area devices, the total DVth depends on the stress time and voltages. (b) For nanoscaled devices, the average number of discharge events (i.e. trapped
charges per device) follows similar dependences.
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J. Franco et al. / Microelectronic Engineering 88 (2011) 1388–1391
100
Si cap:
10x1 μm2
2nm
Si0.45Ge0.55
1nm
− ΔVth [V]
0.1
0.65nm
n = 4.5 ~ 5.7
0.01
T=125˚C,
tstress=2000s, tmeasure=2ms
(a)
0.001
6
10
14
< # of steps per device >
1
70x90 nm2
Si0.45Ge0.55
T=25˚C tstress=132s
(b)
10
1 Si cap:
2nm
1nm
0.65nm
0.1
18
6
14
10
Eox [MV/cm]
18
Eox [MV/cm]
Fig. 4. (a) The use of a thinner Si cap reduces the total DVth on a large area device (re-plotted from [1], field acceleration power-law exponents n 4.5 for the thickest cap,
while n 5.7 for the thinnest cap) and (b) the average number of discharge events per device on nanoscaled SiGe pFETs (lines are guides to the eye here). Note:
Eox |VG Vth0|/Tinv here (Eox estimation from capacitance–voltage measurements was not possible due to the small area devices having Cox values below the detection limit
of standard measurement equipment; Tinv = CET(Vth0 0.6 V) EOT + 4 Å). As one can notice, very high oxide electric fields, up to 18 MV/cm, had to be applied in order to
cause trap charging in SiGe devices with thinnest Si cap. This further proves the improved NBTI reliability of this technology. Furthermore, time dependent dielectric
breakdown (TDDB) did not constitute a showstopper even at such high electric fields thanks to its area scaling.
6
70x90 nm2
Si0.45Ge0.55
5
T=25˚C
tstress =132s
VGstress=-2.25V
4
η [mV]
CCDF
0.1
3
Si cap:
2nm
2
0.01
1nm
Si cap:
1
0.65nm
2nm
0
T=25˚C tstress=132s
Si ref.
0.65nm
0.001
70x90 nm2
Si0.45Ge0.55
tstress
1
0
10
20
5
10
30
Single Charge − ΔVth [mV]
Fig. 5. The average DVth step height (g) is reduced when using a thinner Si cap.
15
20
Eox [MV/cm
Fig. 6. Extracted average DVth step heights (g) as a function of the stress electric
field for different Si cap thicknesses. Devices with a thinner Si cap show lower g,
while in general SiGe devices show lower g w.r.t. Si Ref. data from [5].
E
tSiO2
0
Si
SiGe Si
SiO2
HfO2
0 tSiO2/2 tSiO2
x
MG
Si
SiGe
Si
SiO2
x
HfO2
MG
Fig. 7. Assuming the existence of a defect band (modeled as a Gaussian distribution of traps over the oxide energy bandgap) in the dielectric (e.g. in the SiO2 as observed in
[10]) can explain the experimental observations. With thinner Si cap only a small part of the defect band located on the gate side can interact with channel holes, while for a
thicker cap more defects become accessible on the channel side, explaining the higher average number of trapped charges per device and the higher g [11].
J. Franco et al. / Microelectronic Engineering 88 (2011) 1388–1391
1391
Finally the complementary cumulative distribution of the emission times observed for several stress times and voltages are plotted in Fig. 9 for different Si cap thickness. Interestingly the
emission time distributions appear to be shifted toward lower values for thinner Si cap, suggesting a faster discharge of the trapped
charges after stress removal, i.e. a faster initial relaxation.
4. Conclusion
Fig. 8. Centroid of the accessible traps calculated for different values of the Fermi
level in the channel. The model proposed in Fig. 7 qualitatively agrees with the
experimental observation of the g dependency on the Si cap.
1
0.8
The NBTI reliability of nano-scaled Si0.45Ge0.55 pFETs was studied as a function of the Si cap thickness. Individual discharge
events are visible in the DVth relaxation traces, with exponentially
distributed step heights. The DVth step heights and the corresponding charge emission times were observed to be uncorrelated. The
average number of discharge events follows the typical NBTI
dependences on stress time and voltage observed for the total DVth
on large area devices. The use of a thinner Si cap on SiGe was found
to dramatically reduce the average number of discharge events and
the average DVth step height (g), confirming this technology to be
extremely promising also for nanoscaled device reliability. A simple model including a defect band in the dielectric can qualitatively
explain the experimental observation, suggesting that fewer defects located on the gate side of the dielectric are accessible by
the channel holes when reducing the Si cap thickness, thanks to
a favorable Fermi energy alignment.
CCDF
Acknowledgements
0.6
Si cap:
2nm
1nm
0.65nm
0.4
0.2
70x90 nm2
Si0.45Ge0.55
T=25˚C,
tstress=0.03s 132s
VGstress=1.5V 2.25V
0
0.001
0.1
10
1000
t emission [s]
Fig. 9. The CCDF of the emission times observed for several stress times and
voltages and for different Si cap thickness are reminiscent of the relaxation traces
observed on large area devices. For comparison, the inset shows a typical DVth
relaxation trace for a 10 1 lm2 with a 2 nm Si cap. The emission time
distributions appear to be shifted toward lower emission times for thinner Si cap,
suggesting a faster discharge of the trapped charges after stress removal.
A defect band is assumed with a Gaussian density of states (see
the SiO2 layer and the Eq. in Fig. 7) with its mean value l centered
at E = Ev_Si 0.4 eV at the Si/SiO2 interface and linearly changing
with depth (with slope Eox) to account for the voltage drop in the
dielectric. The centroid of the accessible traps (assuming all traps
are charged after NBTI stress) can be numerically calculated for different values of the Fermi level in the channel. As shown in Fig. 8,
this simple model qualitatively agrees with the experimental
observation of the g dependency on the Si cap (shown in Fig. 6).
This work was carried out as part of imec’s Industrial Affiliation
Program funded by imec’s Core Partners. The imec pilot line and
Amsimec are also acknowledged for their support.
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