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SUPPLEMENTARY INFORMATIONDOI: 10.1038/NNANO.2015.303
NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology 1
1
Epitaxial graphene quantum dots for high-
performance terahertz bolometers.
Abdel El Fatimy*, Rachael L. Myers-Ward, Anthony K. Boyd, Kevin M. Daniels, D. Kurt Gaskill, and
Paola Barbara*.
*e-mail: [email protected], [email protected]
Supplementary Notes:
Estimate of incident power:
We used a Microtech backward-wave oscillator source with tunable frequency in the range 100 –
180 GHz. From the factory calibration curve, the output power at 0.15 THz is 25 mW. The THz
radiation was focused within a 5.25 mm diameter circle using a Winston cone, giving an average
power density of 1,155 W m-2. The distance between the end of the Winston cone and the surface of
the SiC substrate where we patterned the dots was about 5 mm.
We worked on samples with two different types of designs: with and without antennas, as shown
in the images in the insets of Fig S1. We patterned the antennas on some of the devices for future
Epitaxial graphene quantum dots for high-performanceterahertz bolometers
© 2016 Macmillan Publishers Limited. All rights reserved.
2 NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology
SUPPLEMENTARY INFORMATION DOI: 10.1038/NNANO.2015.303
2
work at higher THz frequencies to study the effect of the antenna on the absorbed radiation. (This is
beyond the scope of the current work. Here we characterize the devices using absorbed power to
evaluate their upper limit of performance and we can measure the absorbed power directly from the
current-voltage characteristics with radiation ON-OFF, as described in the main text.). For the
devices with antennas, we used a log periodic antenna as source and drain electrodes1,2 designed to
be broadband in the range from 0.7 THz to 4 THz. The measurements presented in this work are all at
0.15 THz, outside the antenna range, therefore it is not surprising that there is no notable increase of
Figure S1. THz response of graphene dots with and without antennas. a and b, Current-voltage characteristic for 200-nm dots with (red) and without (black) 0.15 THz radiation at 3K. The absorbed power is 2000 pW for the device in a and 500 pW for the device in b. Insets: Optical images of the dots (the scale bars are 5 m). For the device in b the electrodes are patterned as log periodic antennas.
measured absorbed power for devices with antennas. Fig. S1 shows a comparison of the 0.15 THz
response from 200-nm dots without and with antenna. We conclude that these electrodes do not play
a major role in affecting the absorbed power at 0.15 THz.
We therefore estimate the power incident on the device by using just the power incident on the
graphene area between the electrodes (the dot pattern), roughly 20 m2 for most devices, yielding 23
nW (37 nW for a couple of devices with 32 m2 graphene area – see Table S1). A detailed list for 19
0 35 700
20
40
VDC
OFF
ON
I DC (n
A)
VDC (mV)0 35 70
0
35
70
VDC
OFF
ON
I DC (n
A)
VDC (mV)
a b
3
samples is shown in Table S1. For most devices the absorbed power ranges from 30 pW to 300 pW,
two to three orders of magnitude smaller than the estimated incident power. For the 5 devices outside
this range, the 3 with lower absorbed power are smaller, higher resistance dots and the 2 with higher
power are dots with larger graphene area and diagonal steps.
The absorbed power also varies depending on the position of the devices, indicating that the
power from the Winston cone is non-uniform. Variations may also be due to variations in the output
power of the source corresponding to slightly different operating parameters (cathode current and
heater current) during different measurements runs.
Future measurement will focus on increasing the coupling between the THz radiation and the
devices by using antennas designed to increase the detection area and improve the impedance
mismatch, for example by including shunt capacitors to reduce the device impedance at THz
frequency.
Samples
8 x 8 mm2 Graphene area (µm2)
Dot
diameter (nm) Orientation to SiC steps Absorbed power (pW)
3DN3 20 100 perpendicular 200
16DI1 20 30 perpendicular 0.4
30 perpendicular 8
50 perpendicular 7
150 perpendicular 180
150 parallel 224
400 perpendicular 43.5
450 perpendicular 58.9
500 perpendicular 67.5
© 2016 Macmillan Publishers Limited. All rights reserved.
NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology 3
SUPPLEMENTARY INFORMATIONDOI: 10.1038/NNANO.2015.303
2
work at higher THz frequencies to study the effect of the antenna on the absorbed radiation. (This is
beyond the scope of the current work. Here we characterize the devices using absorbed power to
evaluate their upper limit of performance and we can measure the absorbed power directly from the
current-voltage characteristics with radiation ON-OFF, as described in the main text.). For the
devices with antennas, we used a log periodic antenna as source and drain electrodes1,2 designed to
be broadband in the range from 0.7 THz to 4 THz. The measurements presented in this work are all at
0.15 THz, outside the antenna range, therefore it is not surprising that there is no notable increase of
Figure S1. THz response of graphene dots with and without antennas. a and b, Current-voltage characteristic for 200-nm dots with (red) and without (black) 0.15 THz radiation at 3K. The absorbed power is 2000 pW for the device in a and 500 pW for the device in b. Insets: Optical images of the dots (the scale bars are 5 m). For the device in b the electrodes are patterned as log periodic antennas.
measured absorbed power for devices with antennas. Fig. S1 shows a comparison of the 0.15 THz
response from 200-nm dots without and with antenna. We conclude that these electrodes do not play
a major role in affecting the absorbed power at 0.15 THz.
We therefore estimate the power incident on the device by using just the power incident on the
graphene area between the electrodes (the dot pattern), roughly 20 m2 for most devices, yielding 23
nW (37 nW for a couple of devices with 32 m2 graphene area – see Table S1). A detailed list for 19
0 35 700
20
40
VDC
OFF
ON
I DC (n
A)
VDC (mV)0 35 70
0
35
70
VDC
OFF
ON
I DC (n
A)
VDC (mV)
a b
3
samples is shown in Table S1. For most devices the absorbed power ranges from 30 pW to 300 pW,
two to three orders of magnitude smaller than the estimated incident power. For the 5 devices outside
this range, the 3 with lower absorbed power are smaller, higher resistance dots and the 2 with higher
power are dots with larger graphene area and diagonal steps.
The absorbed power also varies depending on the position of the devices, indicating that the
power from the Winston cone is non-uniform. Variations may also be due to variations in the output
power of the source corresponding to slightly different operating parameters (cathode current and
heater current) during different measurements runs.
Future measurement will focus on increasing the coupling between the THz radiation and the
devices by using antennas designed to increase the detection area and improve the impedance
mismatch, for example by including shunt capacitors to reduce the device impedance at THz
frequency.
Samples
8 x 8 mm2 Graphene area (µm2)
Dot
diameter (nm) Orientation to SiC steps Absorbed power (pW)
3DN3 20 100 perpendicular 200
16DI1 20 30 perpendicular 0.4
30 perpendicular 8
50 perpendicular 7
150 perpendicular 180
150 parallel 224
400 perpendicular 43.5
450 perpendicular 58.9
500 perpendicular 67.5
© 2016 Macmillan Publishers Limited. All rights reserved.
4 NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology
SUPPLEMENTARY INFORMATION DOI: 10.1038/NNANO.2015.303
4
600 perpendicular 164
700 perpendicular 187
14DI3 20 210 parallel 170
400 parallel 147
450 parallel 123
500 parallel 193
600 parallel 186
700 parallel 190
27ER4 32 200 diagonal 500
200 diagonal 2000
Table S1. List of devices and the measured absorbed power. The absorbed power is measured from the 0.15 THz response of 19 devices with different dot diameter and different orientation with respect to the SiC steps.
Estimate of device speed:
The speed of the device is determined by the thermal time constant, = Ce /GTH, where the
electronic heat capacity Ce = (2π3/2 kB2n1/2Te)/(3 vF), n is the carrier density and vF is the Fermi
velocity3. We do not know the doping of graphene after the nanopatterning process, however, for a
typical carrier density n = 1012 cm-2, we estimate Ce < 9 ×10-22 J/(Km2) for Te < 9 K, leading to a
response time smaller than 2.5 ns (the area of our patterned graphene is about 20 m2). We note that
this estimate is for the intrinsic response time of the device. The specific measurement circuit used to
detect the response will significantly increase the response time from this value and needs to be
carefully designed to maximize the device speed.
5
Performance as a function of dot diameter and orientation:
We measured several devices with different diameter and current flow orientation with respect to
the SiC steps. The best performance is for dot diameter smaller than 200 nm and device orientation
with current flow perpendicular to the SiC steps. The results are shown in Fig. S2.
Figure S2. Bolometric performance vs. dot diameter and orientation. Measured responsivity at 0.15 THz (a) and NEP (b) as a function of dot diameter at 2.5K. Devices with current flowing perpendicular, parallel and diagonal to the SiC steps are in black, red and blue symbols, respectively.
Fig. S3 shows transmission optical images of two devices revealing the terraces and showing different device orientation with respect to the terraces. The graphene connecting the two electrodes is not visible and we schematically outlined the graphene pattern with red lines.
0 100 200 300 400 500 600 700
1E-16
1E-15
1E-14
1E-13
Elec
trica
l NEP
(W/H
z0.5
)
Diameter (nm)0 100 200 300 400 500 600 700
106
107
108
109
1010
1011
Res
pons
ivity
(V/W
)
Diameter (nm)
a b
© 2016 Macmillan Publishers Limited. All rights reserved.
NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology 5
SUPPLEMENTARY INFORMATIONDOI: 10.1038/NNANO.2015.303
4
600 perpendicular 164
700 perpendicular 187
14DI3 20 210 parallel 170
400 parallel 147
450 parallel 123
500 parallel 193
600 parallel 186
700 parallel 190
27ER4 32 200 diagonal 500
200 diagonal 2000
Table S1. List of devices and the measured absorbed power. The absorbed power is measured from the 0.15 THz response of 19 devices with different dot diameter and different orientation with respect to the SiC steps.
Estimate of device speed:
The speed of the device is determined by the thermal time constant, = Ce /GTH, where the
electronic heat capacity Ce = (2π3/2 kB2n1/2Te)/(3 vF), n is the carrier density and vF is the Fermi
velocity3. We do not know the doping of graphene after the nanopatterning process, however, for a
typical carrier density n = 1012 cm-2, we estimate Ce < 9 ×10-22 J/(Km2) for Te < 9 K, leading to a
response time smaller than 2.5 ns (the area of our patterned graphene is about 20 m2). We note that
this estimate is for the intrinsic response time of the device. The specific measurement circuit used to
detect the response will significantly increase the response time from this value and needs to be
carefully designed to maximize the device speed.
5
Performance as a function of dot diameter and orientation:
We measured several devices with different diameter and current flow orientation with respect to
the SiC steps. The best performance is for dot diameter smaller than 200 nm and device orientation
with current flow perpendicular to the SiC steps. The results are shown in Fig. S2.
Figure S2. Bolometric performance vs. dot diameter and orientation. Measured responsivity at 0.15 THz (a) and NEP (b) as a function of dot diameter at 2.5K. Devices with current flowing perpendicular, parallel and diagonal to the SiC steps are in black, red and blue symbols, respectively.
Fig. S3 shows transmission optical images of two devices revealing the terraces and showing different device orientation with respect to the terraces. The graphene connecting the two electrodes is not visible and we schematically outlined the graphene pattern with red lines.
0 100 200 300 400 500 600 700
1E-16
1E-15
1E-14
1E-13
Elec
trica
l NEP
(W/H
z0.5
)
Diameter (nm)0 100 200 300 400 500 600 700
106
107
108
109
1010
1011
Res
pons
ivity
(V/W
)
Diameter (nm)
a b
© 2016 Macmillan Publishers Limited. All rights reserved.
6 NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology
SUPPLEMENTARY INFORMATION DOI: 10.1038/NNANO.2015.303
6
Figure S3. SiC terraces and device orientation. Transmission optical images of two devices with orientation perpendicular (a) and parallel (b) to the SiC terraces. The vertical parallel lines are the steps of the terraces. The inner radius of the smallest circular branch of the antenna is about 5 microns and the spacing of the steps is about one micron.
Discussion on Joule heating and THz heating:
We previously pointed out that the change in the current voltage characteristics (IV curves) of the
quantum dots due to THz radiation is very similar to the change caused by heating. Fig. S4 shows the
IV curves of a 150-nm dot measured at 2.5 K with THz radiation OFF (black) and ON (red).
0 10 20 30 40 50 60 700
325
650
975
6 K - OFF2.5 K - OFF2.5 K - ON
VDC (mV)
I DC (p
A)
150 nm
Figure S4. THz heating. IV curves of a 150- nm dot with 0.15 THz radiation ON (red) and OFF (black) measured at 2.5 K. The red curve matches the IV curve of the same dot measured at higher temperature, with THz radiation OFF.
a b
7
In the same graph we plot the IV curve of the same dot measured at 6K with THz radiation off (green
curve). We find that the green curve matches the red curve quite well (the temperature of the red
curve is only slightly higher), further supporting the bolometric detection mechanism.
In our quantum dot bolometer analysis, we assumed that when the THz radiation is OFF, the
nonlinearity of the IV curves is mainly due to Joule heating. Here we will justify this assumption by
further analyzing the IV curves of one of our dots with radiation ON and OFF at different base
temperatures, without changing the THz power. Fig. S5 a shows the IV curves of the 30-nm dot with
THz radiation ON (black) and OFF (red) at 2.5 K, that we presented in Fig. 2a of the manuscript.
Here we provide more details on the measurements absorbed power. As described earlier, we
measure the differential conductance at zero bias of the curve with THz radiation ON. This
Figure S5. Joule heating. IV curves of a 30- nm dot with 0.15 THz radiation ON (red) and OFF (black) measured at 2.5 K (a) and 6K (b). The insets in each graph show the differential conductance as a function of bias for each curve and the bias point where the zero bias differential conductance of the curve with radiation ON matches the differential conductance of the curve with radiation OFF.
Those bias points correspond to similar values of Joule power at different temperature, confirming that the nonlinearity of the OFF curves with radiation off is mainly due to Joule heating.
0
40
80
120
160
2002.5 K
I DC(p
A)
IDCVDC= 0.38 0.04 pW
0 20 40 60 800
1
2
3
dID
C/d
V DC (n
S)
VDC (mV)
22.3 1.4 mV
0 35 700
90
180
270
VDC (mV)
I DC (p
A)IDCVDC= 0.56 0.06pW
6K
0 20 40 60 80
1
2
3
dID
C/d
V DC(n
S)
VDC(mV)
20.1 1.5 mV
a
b
±
±
±
±
© 2016 Macmillan Publishers Limited. All rights reserved.
NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology 7
SUPPLEMENTARY INFORMATIONDOI: 10.1038/NNANO.2015.303
6
Figure S3. SiC terraces and device orientation. Transmission optical images of two devices with orientation perpendicular (a) and parallel (b) to the SiC terraces. The vertical parallel lines are the steps of the terraces. The inner radius of the smallest circular branch of the antenna is about 5 microns and the spacing of the steps is about one micron.
Discussion on Joule heating and THz heating:
We previously pointed out that the change in the current voltage characteristics (IV curves) of the
quantum dots due to THz radiation is very similar to the change caused by heating. Fig. S4 shows the
IV curves of a 150-nm dot measured at 2.5 K with THz radiation OFF (black) and ON (red).
0 10 20 30 40 50 60 700
325
650
975
6 K - OFF2.5 K - OFF2.5 K - ON
VDC (mV)
I DC (p
A)
150 nm
Figure S4. THz heating. IV curves of a 150- nm dot with 0.15 THz radiation ON (red) and OFF (black) measured at 2.5 K. The red curve matches the IV curve of the same dot measured at higher temperature, with THz radiation OFF.
a b
7
In the same graph we plot the IV curve of the same dot measured at 6K with THz radiation off (green
curve). We find that the green curve matches the red curve quite well (the temperature of the red
curve is only slightly higher), further supporting the bolometric detection mechanism.
In our quantum dot bolometer analysis, we assumed that when the THz radiation is OFF, the
nonlinearity of the IV curves is mainly due to Joule heating. Here we will justify this assumption by
further analyzing the IV curves of one of our dots with radiation ON and OFF at different base
temperatures, without changing the THz power. Fig. S5 a shows the IV curves of the 30-nm dot with
THz radiation ON (black) and OFF (red) at 2.5 K, that we presented in Fig. 2a of the manuscript.
Here we provide more details on the measurements absorbed power. As described earlier, we
measure the differential conductance at zero bias of the curve with THz radiation ON. This
Figure S5. Joule heating. IV curves of a 30- nm dot with 0.15 THz radiation ON (red) and OFF (black) measured at 2.5 K (a) and 6K (b). The insets in each graph show the differential conductance as a function of bias for each curve and the bias point where the zero bias differential conductance of the curve with radiation ON matches the differential conductance of the curve with radiation OFF.
Those bias points correspond to similar values of Joule power at different temperature, confirming that the nonlinearity of the OFF curves with radiation off is mainly due to Joule heating.
0
40
80
120
160
2002.5 K
I DC(p
A)
IDCVDC= 0.38 0.04 pW
0 20 40 60 800
1
2
3
dID
C/d
V DC (n
S)
VDC (mV)
22.3 1.4 mV
0 35 700
90
180
270
VDC (mV)
I DC (p
A)
IDCVDC= 0.56 0.06pW
6K
0 20 40 60 80
1
2
3
dID
C/d
V DC(n
S)
VDC(mV)
20.1 1.5 mV
a
b
±
±
±
±
© 2016 Macmillan Publishers Limited. All rights reserved.
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SUPPLEMENTARY INFORMATION DOI: 10.1038/NNANO.2015.303
8
conductance is higher than the zero-bias differential conductance with radiation OFF (black curve),
because the THz radiation is heating the device, as shown in Fig. S4. When the THz radiation is OFF,
only Joule power is heating the device, causing an increase of differential conductance when the bias
voltage is increased. If we assume that the non-linearity of the IV curve with radiation off is solely
due to Joule heating, then we will need a value of Joule power as large as the THz power to cause an
increase of differential conductance in the black curve that matches the increase produced by the THz
radiation in the zero-bias differential conductance of the red curve. The inset in Fig. S5a shows the
differential conductance of the black and red curve as a function of bias voltage. The zero-bias
differential conductance of the red curve matches the differential conductance of the black curve at
the voltage bias VDC = 22.3 mV, corresponding to a Joule power of about 0.4 pW.
Fig. S5b shows the same analysis with the device temperature raised to 6K, without changing the
THz power. If the non-linearity of the black curve is mainly due to Joule heating, we expect that the
zero-bias differential resistance of the red curve, corresponding to the device heated with THz
radiation, should match the differential resistance of the black curve, with THz radiation OFF, at a
bias point with Joule power that is approximately the same as the value measured at 2.5 K. The match
of differential conductance occurs at a similar value, 0.56 pW. The two values differ by less than two
standard deviations and the variation can be explained with variation of output power of the THz
source with time, since the two measurements were taken a few hours apart (we measured dots of
different size and orientation at one fixed temperature before heating the sample and test the devices
at a higher temperature).
Heat flow diagram
Fig. S6 shows a basic schematic for the thermal circuit of our device. The graphene is made of
three parts: two triangular shapes on each side of the dot, labeled 1 and 2 and the dot, labeled 3. In the
thermal diagram we separated the graphene lattice, schematically shown as a grey box, and the
electrons, shown in blue for each part of the graphene area. We estimate that the thermal resistance
9
between the graphene lattice and the SiC substrate (not shown in the diagram) is very small compared
to the other thermal resistances that represent cooling channels for the electron gas considered below4
and that, when thermal power is provided to the device, the graphene lattice and the metal electrodes
are at the same bath temperature T0, whereas the electrons equilibrate at a temperature Te > T0. The
electrons in the parts 1 and 2 of the device have two main cooling paths to the bath temperature:
diffusion to the metal electrodes (RTdiff) and phonon collisions (RT
e-p). The dot (part 3 of the device)
is thermally connected to parts 1 and 2 (RT13 and RT
23) as well as to the lattice (RTe-p).
Figure S6. Thermal model. Diagram showing heat conduction paths for electrons (blue shapes) in the different parts of the graphene (the two triangular parts on each side of the dot, 1 and 2, and the dot, 3). We assume that the graphene lattice (grey box) and the metal electrodes are at the bath temperature T0.
We use the Wiedemann-Franz law to estimate RT13, RT
23 and RTdiff . The sum RT
13 + RT23 is related
to the large electrical resistance that we measure in our devices, since the constrictions on each side
of the dot dominate the electrical resistance. For the smallest (30 nm) dots this resistance is as high as
several hundreds of M at a temperature of a few K. We cannot measure the electrical contact
resistance related to RTdiff separately, but we can estimate that is smaller than the room temperature
Metal Electrode
Metal Electrode
1 2 3
Graphene lattice
RT
diff R
T
diff
RT
e-p RT
e-p RT
e-p
RT
13 RT
23
1 2
3
© 2016 Macmillan Publishers Limited. All rights reserved.
NATURE NANOTECHNOLOGY | www.nature.com/naturenanotechnology 9
SUPPLEMENTARY INFORMATIONDOI: 10.1038/NNANO.2015.303
8
conductance is higher than the zero-bias differential conductance with radiation OFF (black curve),
because the THz radiation is heating the device, as shown in Fig. S4. When the THz radiation is OFF,
only Joule power is heating the device, causing an increase of differential conductance when the bias
voltage is increased. If we assume that the non-linearity of the IV curve with radiation off is solely
due to Joule heating, then we will need a value of Joule power as large as the THz power to cause an
increase of differential conductance in the black curve that matches the increase produced by the THz
radiation in the zero-bias differential conductance of the red curve. The inset in Fig. S5a shows the
differential conductance of the black and red curve as a function of bias voltage. The zero-bias
differential conductance of the red curve matches the differential conductance of the black curve at
the voltage bias VDC = 22.3 mV, corresponding to a Joule power of about 0.4 pW.
Fig. S5b shows the same analysis with the device temperature raised to 6K, without changing the
THz power. If the non-linearity of the black curve is mainly due to Joule heating, we expect that the
zero-bias differential resistance of the red curve, corresponding to the device heated with THz
radiation, should match the differential resistance of the black curve, with THz radiation OFF, at a
bias point with Joule power that is approximately the same as the value measured at 2.5 K. The match
of differential conductance occurs at a similar value, 0.56 pW. The two values differ by less than two
standard deviations and the variation can be explained with variation of output power of the THz
source with time, since the two measurements were taken a few hours apart (we measured dots of
different size and orientation at one fixed temperature before heating the sample and test the devices
at a higher temperature).
Heat flow diagram
Fig. S6 shows a basic schematic for the thermal circuit of our device. The graphene is made of
three parts: two triangular shapes on each side of the dot, labeled 1 and 2 and the dot, labeled 3. In the
thermal diagram we separated the graphene lattice, schematically shown as a grey box, and the
electrons, shown in blue for each part of the graphene area. We estimate that the thermal resistance
9
between the graphene lattice and the SiC substrate (not shown in the diagram) is very small compared
to the other thermal resistances that represent cooling channels for the electron gas considered below4
and that, when thermal power is provided to the device, the graphene lattice and the metal electrodes
are at the same bath temperature T0, whereas the electrons equilibrate at a temperature Te > T0. The
electrons in the parts 1 and 2 of the device have two main cooling paths to the bath temperature:
diffusion to the metal electrodes (RTdiff) and phonon collisions (RT
e-p). The dot (part 3 of the device)
is thermally connected to parts 1 and 2 (RT13 and RT
23) as well as to the lattice (RTe-p).
Figure S6. Thermal model. Diagram showing heat conduction paths for electrons (blue shapes) in the different parts of the graphene (the two triangular parts on each side of the dot, 1 and 2, and the dot, 3). We assume that the graphene lattice (grey box) and the metal electrodes are at the bath temperature T0.
We use the Wiedemann-Franz law to estimate RT13, RT
23 and RTdiff . The sum RT
13 + RT23 is related
to the large electrical resistance that we measure in our devices, since the constrictions on each side
of the dot dominate the electrical resistance. For the smallest (30 nm) dots this resistance is as high as
several hundreds of M at a temperature of a few K. We cannot measure the electrical contact
resistance related to RTdiff separately, but we can estimate that is smaller than the room temperature
Metal Electrode
Metal Electrode
1 2 3
Graphene lattice
RT
diff R
T
diff
RT
e-p RT
e-p RT
e-p
RT
13 RT
23
1 2
3
© 2016 Macmillan Publishers Limited. All rights reserved.
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SUPPLEMENTARY INFORMATION DOI: 10.1038/NNANO.2015.303
10
resistance of the largest dot, 50 k. From this we estimate that the thermal conductance due to
diffusion to the electrodes is higher than 2.8 × 10-12 W K-1 by using the Wiedemann-Franz law (we
assume that the variation of the electrical contact resistance with temperature is small).
We estimate the thermal conductance due to collisions with phonons using the result for monolayer
graphene from ref. 5 :
GTe-p = 1/RT
e-p = 4𝜋𝜋2𝐷𝐷2|𝐸𝐸𝐹𝐹|𝐾𝐾𝐵𝐵4𝐴𝐴𝑇𝑇3
15𝜌𝜌ℏ5𝑣𝑣𝐹𝐹3𝑣𝑣𝑠𝑠3= 4Σ𝐴𝐴𝑇𝑇3.
Here we considered the case where Te and T0 are smaller than the Bloch-Grüneisen temperature of
monolayer graphene5, TBG (we do not know the doping of our graphene, but we estimate TBG ~ 70 K
for a reasonable value of charge density, n=1012cm-2). In the formula, we used a deformation
potential D = 18 eV (from ref.6), the Fermi energy EF = 100 meV, a graphene area A = 20 µm2, the
graphene mass density = 7.6 × 10-7 kg m-2, the Fermi velocity vF = 106 m s-1 and the sound velocity
vs = 2 × 104 m s-1, yielding GTe-p = 4 × 10-12 W K-1 at T = 1 K and an electron-phonon coupling
constant = 50 mW m-2 K-4. The thermal conductance extracted from our electrical measurements in
Fig. 1d is GTH ~ 7× 10-12 W K-1 at 6 K, yielding = 0.4 mW m-2 K-4, lower than the estimated value
but similar to other values previously reported7. Although these are just rough estimates (we do not
know the doping level of graphene and we cannot measure the contact resistance separately) and it is
also likely that the defects due to nanopatterning contribute to deviations from these estimates (in
previous work,7 lattice disorder has been suggested as a possible cause for the reduction of electron-
phonon coupling by more than one order of magnitude), the value of thermal conductance extracted
from the measurements compares well to the estimated value and values reported in other studies8.
References
1 Mendis, R. et al. Spectral characterization of broadband THz antennas by photoconductive mixing: Toward optimal antenna design. Ieee Antennas and Wireless Propagation Letters 4, 85-88, doi:10.1109/lawp.2005.844650 (2005).
11
2 Rinzan, M., Jenkins, G., Drew, H. D., Shafranjuk, S. & Barbara, P. Carbon Nanotube Quantum Dots As Highly Sensitive Terahertz-Cooled Spectrometers. Nano Letters 12, 3097-3100, doi:10.1021/nl300975h (2012).
3 Fong, K. C. & Schwab, K. C. Ultrasensitive and Wide-Bandwidth Thermal Measurements of Graphene at Low Temperatures. Physical Review X 2, doi:10.1103/PhysRevX.2.031006 (2012).
4 Wang, Z., Bi, K., Guan, H. & Wang, J. Thermal Transport between Graphene Sheets and SiC Substrate by Molecular-Dynamical Calculation. Journal of Materials 2014, 5, doi:doi:10.1155/2014/479808 (2014).
5 Viljas, J. K. & Heikkila, T. T. Electron-phonon heat transfer in monolayer and bilayer graphene. Physical Review B 81, doi:10.1103/PhysRevB.81.245404 (2010).
6 Chen, J. H., Jang, C., Xiao, S. D., Ishigami, M. & Fuhrer, M. S. Intrinsic and extrinsic performance limits of graphene devices on SiO2. Nature Nanotechnology 3, 206-209, doi:10.1038/nnano.2008.58 (2008).
7 Betz, A. C. et al. Hot Electron Cooling by Acoustic Phonons in Graphene. Physical Review Letters 109, doi:10.1103/PhysRevLett.109.056805 (2012).
8 McKitterick, C. B., Prober, D. E., Vora, H. & Du, X. Ultrasensitive graphene far-infrared power detectors. Journal of Physics-Condensed Matter 27, doi:10.1088/0953-8984/27/16/164203 (2015).
© 2016 Macmillan Publishers Limited. All rights reserved.
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SUPPLEMENTARY INFORMATIONDOI: 10.1038/NNANO.2015.303
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resistance of the largest dot, 50 k. From this we estimate that the thermal conductance due to
diffusion to the electrodes is higher than 2.8 × 10-12 W K-1 by using the Wiedemann-Franz law (we
assume that the variation of the electrical contact resistance with temperature is small).
We estimate the thermal conductance due to collisions with phonons using the result for monolayer
graphene from ref. 5 :
GTe-p = 1/RT
e-p = 4𝜋𝜋2𝐷𝐷2|𝐸𝐸𝐹𝐹|𝐾𝐾𝐵𝐵4𝐴𝐴𝑇𝑇3
15𝜌𝜌ℏ5𝑣𝑣𝐹𝐹3𝑣𝑣𝑠𝑠3= 4Σ𝐴𝐴𝑇𝑇3.
Here we considered the case where Te and T0 are smaller than the Bloch-Grüneisen temperature of
monolayer graphene5, TBG (we do not know the doping of our graphene, but we estimate TBG ~ 70 K
for a reasonable value of charge density, n=1012cm-2). In the formula, we used a deformation
potential D = 18 eV (from ref.6), the Fermi energy EF = 100 meV, a graphene area A = 20 µm2, the
graphene mass density = 7.6 × 10-7 kg m-2, the Fermi velocity vF = 106 m s-1 and the sound velocity
vs = 2 × 104 m s-1, yielding GTe-p = 4 × 10-12 W K-1 at T = 1 K and an electron-phonon coupling
constant = 50 mW m-2 K-4. The thermal conductance extracted from our electrical measurements in
Fig. 1d is GTH ~ 7× 10-12 W K-1 at 6 K, yielding = 0.4 mW m-2 K-4, lower than the estimated value
but similar to other values previously reported7. Although these are just rough estimates (we do not
know the doping level of graphene and we cannot measure the contact resistance separately) and it is
also likely that the defects due to nanopatterning contribute to deviations from these estimates (in
previous work,7 lattice disorder has been suggested as a possible cause for the reduction of electron-
phonon coupling by more than one order of magnitude), the value of thermal conductance extracted
from the measurements compares well to the estimated value and values reported in other studies8.
References
1 Mendis, R. et al. Spectral characterization of broadband THz antennas by photoconductive mixing: Toward optimal antenna design. Ieee Antennas and Wireless Propagation Letters 4, 85-88, doi:10.1109/lawp.2005.844650 (2005).
11
2 Rinzan, M., Jenkins, G., Drew, H. D., Shafranjuk, S. & Barbara, P. Carbon Nanotube Quantum Dots As Highly Sensitive Terahertz-Cooled Spectrometers. Nano Letters 12, 3097-3100, doi:10.1021/nl300975h (2012).
3 Fong, K. C. & Schwab, K. C. Ultrasensitive and Wide-Bandwidth Thermal Measurements of Graphene at Low Temperatures. Physical Review X 2, doi:10.1103/PhysRevX.2.031006 (2012).
4 Wang, Z., Bi, K., Guan, H. & Wang, J. Thermal Transport between Graphene Sheets and SiC Substrate by Molecular-Dynamical Calculation. Journal of Materials 2014, 5, doi:doi:10.1155/2014/479808 (2014).
5 Viljas, J. K. & Heikkila, T. T. Electron-phonon heat transfer in monolayer and bilayer graphene. Physical Review B 81, doi:10.1103/PhysRevB.81.245404 (2010).
6 Chen, J. H., Jang, C., Xiao, S. D., Ishigami, M. & Fuhrer, M. S. Intrinsic and extrinsic performance limits of graphene devices on SiO2. Nature Nanotechnology 3, 206-209, doi:10.1038/nnano.2008.58 (2008).
7 Betz, A. C. et al. Hot Electron Cooling by Acoustic Phonons in Graphene. Physical Review Letters 109, doi:10.1103/PhysRevLett.109.056805 (2012).
8 McKitterick, C. B., Prober, D. E., Vora, H. & Du, X. Ultrasensitive graphene far-infrared power detectors. Journal of Physics-Condensed Matter 27, doi:10.1088/0953-8984/27/16/164203 (2015).
© 2016 Macmillan Publishers Limited. All rights reserved.