Title
TCAD ready density gradient calculation of channel charge for
Strained Si/Strained Si1−xGex dual channel pMOSFETs on
(001) Relaxed Si1−y Gey
C. D. Nguyen, A. T. Pham, C. Jungemann, and B. Meinerzhagen
Institut fă
ur Netzwerktheorie und Schaltungstechnik
Technische Universită
at Braunschweig
C. Jungemann
IWCE 2004
1
Outline
ã Motivation
ã Schră
odinger/Poisson Solver for Strained Si and SiGe
ã Density Gradient Model
• Extraction of the heterojunction valence band offsets needed for TCAD
simulators
• Conclusion and Outlook
C. Jungemann
IWCE 2004
2
Motivation
C. Jungemann
IWCE 2004
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Motivation
multi stacked strained structure
Vg
0
SiO2 (4.4nm)
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
Strained Si0.4 Ge0.6
(5nm)
✁
Strained Si (3.3nm)
III
III/II
∆EV
II
II/I
∆EV
I
Relaxed Si0.7 Ge0.3
EV
EF
EC
Changes in the band structure and small
thickness of the strained layers
= Size Quantization
Solution: Schră
odinger equation (SE)
with a full band description using the
k · p-method
For TCAD use, directly solving the SE
is too CPU intensive.
=⇒ Density Gradient Method (DGM)
Problem: unknown model parameters
e. g. effective band offsets.
z
Vb
C. Jungemann
IWCE 2004
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Motivation
Effective band offsets can be determined by:
• Measurement: The effective band offsets can be extracted by inverse
modeling of CV measurements based on the DGM [1].
=⇒ Uncertainty due to incomplete knowledge of the investigated devices
• Simulation: Based on the self-consistent solution of the SE and Poisson
equations, the effective band offsets can be extracted and the errors of
the DGM approximation can be investigated.
[1] C. Ni Chleirigh et al., “Extraction of band offsets in Strained Si/Strained SiGe on relaxed
SiGe dual-channel enhanced mobility structures” to be presented at SiGe Materials, Processing
and Devices Symposium, Hawai, 2004.
C. Jungemann
IWCE 2004
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Schră
odinger/Poisson Solver for Strained Si and SiGe
C. Jungemann
IWCE 2004
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Schră
odinger/Poisson Solver for Strained Si and SiGe
6 ì 6 k · p SE for holes:
∂
n
+ ˆI · eV (z) Fn
k (z) = En (k)Fk (z)
∂z
ˆ =H
ˆ kp + H
ˆ so + H
ˆ str and
with k = (kx, ky ), H
ˆ k, kz = −i
H
V (z) = Ψ(z) + ∆Evav/e,
∆Evav [2]: “natural” valance band offset step of the Si/ SiGe heterostructure.
The quantum-mechanical charge density:
pqm(z) =
1
2
n (2π)
|Fkn|2f (En(k) + EF ) d2k ,
(1)
In contrast to nextnano3, a modified discretization scheme for the twodimensional k space is used in order to reduce the computation time and
to calculate (1) with high accuracy. Moreover, the CV characteristics for
mobility and band-offset extraction are determined by 1st order perturbation
theory. =⇒ About 30 times less CPU intensive than nextnano.
[2] C. G. van de Wall Phys. Rev. B, vol. 35, no. 15, pp. 8154–8165, 1987
C. Jungemann
IWCE 2004
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Schră
odinger/Poisson Solver for Strained Si and SiGe
New interpolation method and grid
0.378
0.40
0.376
0.35
k||=0.2 [π/a0,Si]
Energy [eV]
Energy [eV]
0.374
0.372
0.370
Nφ=45
0.368
0.366
φ=00
0.30
0.25
0.20
0.15
Nk||=45
Nφ=8, linear inter.
0.10
Nk||=8, linear inter.
Nφ=8, harmonic inter.
0.05
Nk||=8, cubic spline inter.
0.364
0
0
5
10
15
20
25
30
35
40
45
0
0.1
0.2
o
φ[ ]
=⇒
C. Jungemann
0.3
0.4
Si
k|| [π/a0 ]
0.5
0.6
CPU-time gain = 25-30
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Schră
odinger/Poisson Solver for Strained Si and SiGe
Band structure of first three subbands (ND = 5 × 1017 cm−3, VG = −2.5V,
φ = 0o) and the wave function of the first energy level.
1.0
1. subband
2. subband
3. subband
0.9
0.8
0.4
1,1
F0 (z)
strained Si0.4Ge0.6
strained Si
0.7
0.6
Energy [eV]
Energy [eV]
0.3
relaxed
Si0.7Ge0.3
0.5
0.4
0.2
0.3
0.1
0.2
a)
0.1
0
0.0
0.1
0.2
C. Jungemann
0.3
0.4 0.5 0.6
Si
k|| [ π /a0 ]
0.7
0.8
0.9
1
2
3
4
5
6
7
8
9
10
1.0
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Schră
odinger/Poisson Solver for Strained Si and SiGe
Hole density at room temperature for two gate biases evaluated by SE
50
FBSC (VG=-4V)
FBSC (VG=-2V)
Hole density [x10
18
-3
cm ]
40
30
20
10
0
C. Jungemann
0
1
2
3
4
5
z [nm]
6
7
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9
10
10
Density Gradient Model
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Density Gradient Model
Approximate quantum correction by the density gradient model (DGM):
p
dg
(z) = Nv exp
Ev + Φm + Λ − EF
.
kB T
Here, Φm = (3/2)kB T log(m∗) and Λ is obtained by solving a differential equation:
2γ
¯ − EF
¯ − EF
1
Φ
Φ
∇·∇
+
∇
Λ=
12m
kB T
2
kB T
C. Jungemann
2
¯ = Ev + Φm + Λ
, with Φ
IWCE 2004
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Density Gradient Model
What is new in strained material compared to relaxed material?
✁
✁
✁
✁
Electrons:
∆Ec(y) known from literature.
✁
✁
✁
✁
✁
✁
✁
✁
∆Ec(y)
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
∆Ev (y, k||)
✁
✁
tSSi
C. Jungemann
Relaxed Si1−y Gey
Holes:
∆Ev (y, k||) depends on k||
¯v (y) independent from k||
but ∆E
required for TCAD (effective valence band offsets)
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Extraction of the band offsets for TCAD
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Extraction of the band offsets for TCAD
20
Cgd[pF]
15
10
I/II
∆Ev
I/II
∆Ev
+ 40meV
- 40meV
I/II
5
ana. ∆Ev
Ii/III
∆Ev
II/III
∆Ev
0
-4
C. Jungemann
-3
II/III
and ∆Ev
- 40 meV
+ 40 meV
-2
VG[V]
-1
0
• Based on the CV data calculated by
SE, the valance band offsets have
been extracted by matching the CV
data calculated by DGM.
• The conduction band offsets are
fixed during the fitting procedure.
• Note that in this version the effective mass of Si for DGM was used
because no values are available for
strained Si and strained SiGe.
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Extraction of the band offsets for TCAD
Gate capacitance with different thickness of strained Si region (T = 300 K)
20
20
DGM
FBSC
DGM
FBSC
15
Cgd[pF]
Cgd[pF]
15
10
5
0
-4
10
5
-3
-2
VG[V]
-1
0
0
-4
tSSi = 3.3 [nm]
C. Jungemann
-3
-2
VG[V]
-1
0
tSSi = 4.0 [nm]
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Conclusion and Outlook
C. Jungemann
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Conclusion and Outlook
• Conclusions
– Efficient evaluation of low frequency CV characteristic for multi stacked
strained Si structures with a complete description of the valance band
structure is now possible.
– Accurate calculation of CV-characteristics for strained Si/SiGe dual
channel pMOSFETs based on Density Gradient Method with the corresponding extracted valance band offsets.
• Outlook
– Improvement of the state of art Density Gradient Model for holes in
strained Si and strained Si1−xGex based on our SE/PE solver.
– Extraction of the heterojunction valence band offsets and other parameters for wide range of Ge contents.
– Verification of the extracted results by comparison with measured CVdata.
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IWCE 2004
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