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2012 12th IEEE International Conference on Nanotechnology (IEEE-NANO)
The International Conference Centre Birmingham
20-23 August 20112, Birmingham, United Kingdom
Si/SiGe Nanoscale Engineered Thermoelectric Materials for Energy Harvesting
D.J. P aull, A. Samare11il, L. Ferre Llinl, J.R. Watlingl, Y. Zhangl, J.M.R. Weaverl, P.S. Dobsonl,
S. Cecchi2, J. Frigerio2, F. Isa2, D. Chrastina2, G. Isella2, T. Etzelstorfer3, J. Stang13, E. Muller Gubler4
Ahstract- Thermoelectric materials are one potential technology that could be used for energy harvesting. Here we report results from nanoscale Ge/SiGe heterostructure materials grown on Si substrates designed to enhance the thermoelectric performance at room temperature. The materials and devices are aimed at integrated energy harvesters for autonomous sensing applications. We report Seebeck coefficients up to 279.S±1.2 f-l V IK at room temperature with electrical conductivites of 77,200 S/m which produce a high power factor of 6.02±0.OS mWm-1K-2• Methods for micro fabricating modules will be described along with techniques for accurate measurements of the electrical conductivity, Seebeck coefficient and thermal conductivity in micro- and nano-scale devices. The present thermoelectric performance is limited by a high threading dislocation density.
I. INTRODUCTION
The generation of electricity from thermal energy through
the Seebeck effect has been used for the last 50 years to
power a number of systems. Through the scaling of CMOS,
electronic circuits are now within reach of creating au
tonomous sensors with sensing, control I analysis electronics,
radio communication and power management all integrated
into a single system-on-chip. For many sensing applications,
sensors require lifetimes of tens of years and the cost of
replacing batteries is orders of magnitude greater than the
cost of the system. Energy harvesting could potentially allow
fit and forget solutions where the battery never needs to be
replaced or indeed the battery may be completely removed
from the system.
The figure of merit for thermoelectric materials IS ZT
= 0;2 (}T / "" where 0; is the Seebeck coefficient, () IS the
electrical conductivity, T is the temperature and "" is the
thermal conductivity [I]. At present the best thermoelectric
materials for room temperature operation are based on bulk
Bi2Te3 and Sb2Te3with ZT :::::: I but tellurium is one of the
rarest elements on the planet and there is great demand for a
sustainable replacement [1]. The maximum power that can be
delivered to a load is related to the power factor, 0;2() so this
parameter must also be optimised for practical systems. More
importantly, when the temperature drop across the material
is small (i.e. for b..T < 25 K) and output power is more
1 University of Glasgow, School of Engineering, Rank-ine Building, Oakfield Avenue, Glasgow, Gl2 8LT, U.K. [email protected]
2L-NESS, Politecnico di Milano, Via Anzani 42, 22100 Como, Italy 3 Johannes Kepler Universitiit, Institute of Semiconductor and Solid State
Physics, A-4040 Linz, Austria 4ETH Zurich, Electron Microscopy ETH Zurich, Wolfgang-Pauli-Str. 16,
CH-8093 Zurich, Switzerland
important than efficiency, a high power factor can produce
significantly more output power from better electrical and
thermal impedance matching than optimization of ZT.
Large values of ZT requires a high electrical conductivity
and a low thermal conductivity. Due to the Wiedemann
Franz rule, the two are proportional to each other in bulk 3D
materials and it is therefore difficult to engineer enhanced
thermoelectric materials. In lower dimensions, it is possible
to engineer structures in which there are weaker relation
ships between the electrical and thermal conductivities. The
Seebeck coefficient is given by [2]
(I)
where q is the electron charge, kB is Boltzmann's constant,
JL is the mobility, g is the density of states, E is the energy
and EF is the Fermi energy. Therefore the use of quantum
wells, ID or OD nanostructures can also enhance the Seebeck
coefficient through the enhancement of the density of states
[2], [3].
Our approach uses Ge/SiGe heterostructures on Si sub
strates to produce quantum wells and quantum dots which
have previously demonstrated high ZTs at high temperatures
[4] and can be easily integrated onto silicon chips through
back-end-of-line processing. Nanofabrication is also being
used to etch I D nanowires of Ge/SiGe heterostructures
to investigate potential enhancements. In this paper lateral
structures using Ge quantum wells will be investigated with
the aim of improving the ZT and power factor of the material.
II. FABRICATION
Ge/SiGe superlattices have been grown on Si substrates
using the low energy plasma enhanced chemical vapour
deposition (LEPECVD) growth technique which provides
very fast growth of up to 10 {Lm thick superlattices, ideal for
thermoelectric modules. A I {Lm Sio.2Geo.8 buffer was grown
at a rate of 5.5 nm Is and 525 °C [5]. This was followed
by 378 periods of modulation doped Ge quantum wells with
Sio.3Geo.7 barriers grown at the lower temperature of 475°C.
The compressively strained quantum well widths were varied
between 6.5 and 9.5 nm as measured by high-resolution x
ray diffraction. The barriers in each structure were designed
to be tensile strained so that the total structure was strain
symmetrised and pseudomorphic to the relaxed buffer. The
sheet doping level of boron was 7.5 x 1012 cm-2 in between
100 nm
Fig. I. A TEM image of one of the lateral superlattice samples showing Ge quantum wells and SiGe barriers. The box indicates where a threading dislocation crosses a quantum well.
I I I I I I I I I I I 15 OkV 15 9mm x80 SEll) 500um
Fig. 2. A SEM image of a single free standing Hall bar sample for measuring the electrical conductivity. thermal conductivity and Seebeck coefficient for micro and nanoscale samples.
each quantum well and at the top and bottom of the structure
to screen the surface and substrate from the quantum wells.
Fig. I shows a transmission electron micrograph of Ge
quantum wells grown on a thin strain relaxation buffer on
top of a silicon-on-insulator substrate. Due to the thin virtual
substrate, the dislocation density is around 109 cm-2 as
measured by both transmission electron microscopy (TEM)
and counting the surface density using an optical microscope
after a decoration etch. Holes in this design are transported
along the quantum wells and so to characterise the material,
free standing Hall bars with electrical heaters at each end
to provide a temperature gradient along with thermometers
and electrical contacts to allow the electrical conductivity,
thermal conductivity and Seebeck coefficients to be extracted
on a single sample (see Fig. 2) were fabricated. The ther
mometers consist of 20 nm of Ti with 100 nm of Pt and
are calibrated to obtain an accurate temperature coefficient
of resistance before being used. The thermal conductivity is
particularly difficult to measure and we use a novel technique
80000
E 70000 � Z. 60000 .s; � ::l
"C 50000 c: 0 <) iii 40000 <) .;: ti CI) iii 30000
20000 6 6.5 7.5 8.5 9.5 10
QW width (nrn)
Fig. 3. The electrical conductivity of the modulation doped samples as a function of quantum well width at 300 K. The errors are below I % and therefore any error bars are smaller than the plotted diamonds.
where the material in the Hall bar is measured before the
central part of the Hall bar is cut out leaving the heaters and
thermometers. Measurements are then made to obtain the
parasitic heat transport down the thermometers and heater
leads and this allows an accurate determination of the heat
flux which is transported down the material, essential to be
able to determine the thermal conductivity with a high level
of accuracy.
III. THERMOELECTRIC CHARACTERISATION
The electrical conductivity was measured on Hall bar
samples (see Fig 2) using a 4 terminal technique to remove
all series resistances from the measurement. The electrical
conductivity as a function of quantum well width is plotted
in Fig. 3. For bulk Ge doped at a comparable level the elec
trical conductivity is 33,300 S/m [6] and so the modulation
doping technique has clearly produced higher values. As the
quantum well width is reduced, there is a sudden transition
to a reduced electrical conductivity which can be attributed
to an increase in interface roughness scattering [7]. This
spacer layer (the undoped spacer between the doping supply
layer and the quantum well) is not a constant and will also
decrease for the narrower quantum well. The position of the
dopant has not been measured in these samples and so the
thickness of the spacer layer between the quantum well and
the doping supply layer is unknown. Whilst the uncertainty
in the measurement of electrical conductivity is below 1%
of the measured values, the variation observed between the
samples is much larger than this value. It is believed that
local variations in the high threading dislocation density
for each sample results in the variability as the electrical
conductivity is very sensitive to the dislocation density in
this regime [8].
Two different techniques have been used to measure the
Seebeck coefficient. Both rely on an electrical heater at one
end of the Hall bar providing a temperature difference along
the Hall bar which will produce a Seebeck voltage. Heater
powers up to 25 m W were used which heats the hot side of
12
10 > .s (I) 8 CI S "0 >
-" 6 0 (I)
.c (I) (I)
(/J 4
8 10 12 14 16 18 20 22 Differential temperature (K)
Fig. 4. The Seebeck voltage as a function of temperature across a modulation doped sample at 300 K. The squares are temperature measurements from calibrated thermometers and the circles are measurements using a calibrated thermal AFM.
290
Q 280 -..... > -3 270 .... c OJ
'u <;:::: 260 -OJ 0
U -" 250 u OJ
..Q OJ OJ
Ul 240
230 6 6.5 7 7.5 8 8.5 9 9.5 10
QW width (nm)
Fig. 5. The Seebeck coefficient of the modulation doped samples as a function of quantum well width at 300 K with error bars plotted for each sample.
the Hall bar up to 335 K. As both ends of the Hall bars have
heaters, the heat was applied in both directions to provide
confidence in the measurements by producing symmetrical
results and in all cases the difference in measurement was
less than 1 %. All devices have calibrated thermometers
fabricated at either end of the Hall bar which allows the
temperature gradient to be measured. To provide a secondary
check, a calibrated thermal atomic force microscope (AFM)
where the Johnson noise in a resistor is used to provide a
calibrated reference [9] was scanned down the Hall bar. Fig.
4 presents the data from both techniques for a sample with
a 9 nm wide quantum well. Both techniques agree to better
than 1 % which provides confidence in the measurements
and the extracted Seebeck coefficients.
The Seebeck coefficient was taken as the gradient of the
Seebeck voltage versus the temperature difference measured
down the length of the Hall bar. Fig. 5 demonstrates the
variation of the Seebeck coefficient measured as a function
e-� [ ....
� J!! .... (I) � 0 a.
0.007
0.006
0.005
0.004
0.003
0.002
0.001 I....----L_--'-_-'-----''-----'-_--'-_-'------' 6 6.5 7 7.5 8 8.5 9 9.5 10
QW width (nm)
Fig. 6. The power factor of the modulation doped samples as a function of quantum well width at 300 K. The error bars are smaller than the plotted squares.
of the quantum well width. For this set of samples, the results
suggest that the Seebeck coefficient is near constant and it is
believed that the small variability in the results is related to
local changes in the threading dislocation across the samples
being characterized [8]. These results with values between
236.0±3.5 and 279.5±1.2I1Wm-1K-2 should be compared
with a bulk p-type Ge Seebeck coefficient of 90 ILV/K at
300 K with comparable doping density of rv 1 019 cm -3 [10]
and thin film p-Ge samples of 200 I1V/K [6]. As a high
dislocation density can also increase the Seebeck coefficient
[8], the present results do not yet demonstrate beyond all
reasonable doubt that the enhanced Seebeck coefficient is the
result of a larger asymmetry across the chemical potential
as suggested by equation (1). Further samples with lower
dislocation density are required before the true mechanism
for the enhanced Seebeck coefficient can be determined.
The power factor as a function of quantum well width has
been plotted in Fig. 6. The values need to be compared with
bulk p-Ge of 2.45 x 10-4 Wm-1 K-2 and for thin film p
Ge of 1.33 x 10-3 Wm-1K-2. All the values demonstrate
enhancements with the best samples producing power factors
six times larger than bulk thin film Ge for a comparable
doping density [6].
To obtain the thermal conductivity, a measurement of the
heat flux being injected into the hot end of the Hall bar is
required. To obtain this, the temperature at each end of the
Hall bar was measured using the calibrated thermometers
(see Fig. 7). The Hall bar was then removed allowing the heat
that is being transported through parasitic channels such as
the electrical, heater and thermometer contacts to the Hall bar
to be measured. By evaluating how much additional power is
required with the Hall bar central section in place to get the
hot end of the device to the same temperature, an accurate
heat flux being injected into the Hall bar can be extracted.
Fourier's law can then be used to calculated the thermal
conductivity since the temperature gradient along the Hall
bar is known as well as the heat flux entering the Hall bar at
the hot end and the length of the measurement section. Fig.
340 r-----r---�----_,----_,--, • Hot Thermometer • Cold Thermometer •
330 •
•
E .a 320 E •
•
CI) Co E � 310 " ..... .
•
�
•
1..-••
:
•
300 � •• _ •• •
o 5 10
• • • • •
15 20
Power Heater (mW)
•
Fig. 7. The hot and cold side thermometers demonstrating the temperature gradient along a 9 nm wide quantum well Hall bar at 300 K substrate temperature.
� E ! z. .;;: � ::l
1J c: 0 0 iii E ... CI)
J:: I-
60
50
40
30
20
10
OL-� __ -L __ �� __ � __ �� __ � 6 6.5 7 7.5 8 8.5 9 9.5 10
QW width (nm)
Fig. 8. The thermal conductivity of the samples as a function of quantum well width at a 300 K substrate temperature.
8 presents the thermal conductivity results from the samples
as a function of quantum well width. There is a general trend
of lower thermal conductivities for narrower quantum wells.
As the electrical conductivity is also reducing, in the present
samples it is the hole contribution to the thermal conductivity
that dominates the reduction in thermal conductivity as the
quantum well width is reduced. The error bars have been
calculated from the measurements using standard statistical
methods. It is clear that the uncertainty for the thermal
conductivity measurements is significantly larger than the
uncertainty in the electrical and Seebeck measurements.
The ZT for the samples as a function of quantum well
width is presented in Fig. 9. For bulk Ge, the ZT is
1.15 x 10-3
[10] whilst for thin film Ge it is 6.23 x 10-3
.
The present results represent an order of magnitude increase
in the ZT figure of merit demonstrating the benefits of
low dimensional structures for improving the thermoelectric
figure of merit.
0.1 r-----,---,------r----,---,------,---,-----,
0.08
� 0.06 0 0 !:2. l-N
0.04
0.02
6 6.5 7 7.5 8 8.5 9 9.5 10 QW width (nm)
Fig. 9. The measured ZT at 300 K for the samples as a function of quantum well width.
Fig. 10. A SEM image of arrays of 50 nm wide etched Si/SiGe nanowires designed for vertical electron transport.
IV. DISCUSSION
These ZT values are still rather low compared to bulk
Bi2 Te3. Initial analysis suggests that all the present samples
have significant electrical conductivity in the Sio.3 Geo. 7 barriers and therefore optimising the spacer and doping sup
ply layers should allow improved results especially through
enhancements to the Seebeck coefficient through the re
duced doping. The modulation doped design will allow high
electrical conductivity for lower values of doping that bulk
samples due to the reduced Coulomb scattering. A second
issue is that the ZT is strongly dependent on the threading
dislocation density for densities above 107 cm-2 [8]. Theory
suggests that a reduction of the threading dislocation density
to 107 cm-2 or below would increase the ZT by an order of
magnitude [8] which would result in ZT values comparable
to Bi2Te3 at room temperature. The power factors are already
above bulk Bh Te3 at room temperature and these values
are expected to improve by an order of magnitude through
the reduction of the threading dislocation density and the
reduction in the doping in the samples.
The results also indicate that for the lower thermal con
ductivities, the uncertainty in ZT increases significantly. This
makes accurate characterisation of material difficult with
the majority of the uncertainty in the measurement of the
Fig. I I. A TEM image of a Ge quantum dot grown directly by LEPECVD on a Si substrate.
thermal conductivity. There are many other potential methods
to improve the thermoelectric efficiency apart from the
straight quantum well modulation doping scheme discussed
above. SiGe superlattice material with much thinner quantum
wells and barriers has also been etched into nanowires to
investigate further reductions in the dimensionality where the
transport is vertical rather than lateral. Fig. 10 demonstrates
a SEM image of an array of 50 nm wide Ge/SiGe nanowires.
Such structures are being developed for vertical thermoelec
tric superlattice transport to allow separate n-type and p-type
nanowires on Si chips to be flip-chip bonded to produce
complete thermoelectric modules. Finally, Ge quantum dot
structures have also been investigated. Multilayers of Ge
quantum dots have been produced in a Si matrix with heights
around 10 nm and widths around 25 nm (see Fig. 11). The
results from these ID and OD materials will be presented in
future publications elsewhere.
V. CONCLUSION
Nanoscale patterning of materials has been used to en
hance the thermoelectric performance. Enhancements of the
Seebeck coefficients have been achieved using modulation
doped Ge quantum wells. Improvements of over an order of
magnitude in the power factor and ZT over bulk and thin
film Ge has been achieved but the ZT values are presently
limited by the threading dislocation density and parallel
electrical conduction in the barriers of the device. Modelling
suggest that reductions in the threading dislocation density
to 107 cm-2 or below would result in an order of magnitude
increase in ZT over the present results.
VI. ACKNOWLEDGEMENT
The work has been undertaken as part of the GREEN
Silicon project (No. 257750) funded by the EC ICT Fu
ture Emerging Technologies Proactive Initiative "Towards
Zeropower ICT".
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