thermometry in nanostructures at low temperatures - saske.sk · electronic refrigeration and...
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Electronic refrigeration and
thermometry in nanostructures at
low temperatures
Jukka Pekola
Low Temperature Laboratory
Aalto University, Finland
Nanostructures
Temperature
Energy relaxation
Thermometry
Refrigeration
Present topics of interest
1. New physical phenomena and versatile fabrication
techniques lead to new electronic device concepts.
- quantum mechanical effects
- single-electron effects
- superconductivity
- non-equilibrium effects
2. Thermal properties are very different from those of
macroscopic systems, especially at low temperature. Local
refrigeration and thermometry become possible.
What new can micro- and nanostructures
provide at low temperatures?
Technological basis: micro- and
nanofabrication
1. Lithography and thin film
deposition (structures in 2D)
A. Kemppinen et al.,
Single-electron transistor
2. Etching (structures in 3D)
A. Luukanen et al.,
Antenna Coupled Micro-
bolometer
Temperature in an electronic device
0.0
0.2
0.4
0.6
0.8
1.0
hot
intermediate
cold
f(E
)
E
E = m
Generic thermal model for an
electronic ”thermometer”
The energy distribution of electrons
in a small metal conductor
Equilibrium –Thermometer measures the temperature of the ”bath”
Quasi-equilibrium –Thermometer measures the temperature of the electron system which
can be different from that of the ”bath”
Non-equilibrium –There is no well defined temperature measured by the ”thermometer”
Illustration: diffusive
normal metal wire
H. Pothier et al. 1997
The distribution is determined by energy relaxation:
Electron-phonon relaxation in
metals at low T
Tunnelling and thermometry by
tunnel junctions
METAL METAL
G+
G-
Symbols:
Normal junction Superconducting junction
Tunnel barrier
Examples of aluminium-oxide tunnel barriers
Basics of tunnel junctions
Tunneling from occupied states to empty states
Energy is conserved
E
V
1 2
Metal – Insulator – Metal (MIM or
NIN) tunnel junction
E
V
Now, density of states (DOS) is almost constant over the
small energy interval:
If f1 = f2 = f, we may use
Ohmic, no temperature dependence NOT A THERMOMETER!
Noise?
Average current through a basic tunnel junction is not sensing T. How about
fluctuations around the mean current?
Equilibrium noise: Iave = 0
Tunnel junction behaves like a resistor
SI SV
Noise thermometry is possible, but it is seldom used as such in nanostructures.
Non-equilibrium: Shot
noise thermometry (SNT)
L. Spietz et al., Science 300, 1929 (2003); PhD thesis
2006; APL 89, 183123 (2006).
SNT – quantitative analysis
Idea: measure the
crossover voltage between
thermal noise and shot
noise; not necessary to
know the absolute
calibration for noise
measurement.
Single-electron tunneling and
Coulomb blockade thermometry
Single-electron transistor (SET)
V/2
RT1 , C1
V/2
RT2 , C2
Cg
Vg
neUnit of charging
energy:
-2 0 2
-2
0
2
I (e
/2R
TC
)
V (e/C)
Coulomb Blockade Thermometry
– principal idea
With increasing temperature the IV
curve of a SET transistor gets
increasingly smeared.
-10 -8 -6 -4 -2 0 2 4 6 8 10-10
-8
-6
-4
-2
0
2
4
6
8
10
CU
RR
EN
T
VOLTAGE
-10 -8 -6 -4 -2 0 2 4 6 8 10
0.985
0.990
0.995
1.000
VOLTAGE
CO
ND
UC
TA
NC
E d
I/d
V
IV curve
conductance
Basic properties of a Coulomb
blockade thermometer (CBT)
primary thermometer
secondary thermometer
An array of N tunnel junctions in weak Coulomb blockade,
EC << kBT:
J.P. et al., PRL 73, 2903 (1994)
CBT performance at
low T
3He MCT (mK)
CB
T (
mK
)
Solution: Larger islands and make a (known) correction.
CBTs produced by VTT optical
lithography process (2007)
M. Meschke et al., J. Low Temp. Phys. 134, 1119 (2004); arXiv:1006.1609 (2010).
Thermal
decoupling
Experiments
against MCT at
CNRS Grenoble
and at PTB
CBT in magnetic field
Magnetic field has no
observable influence on CBT
J. Appl. Phys. 83, 5582 (1998)
J. Low Temp. Phys. 128, 263 (2002)
B (T)
T = 1.46 K
T = 1.46 K
Single junction thermometer
(SJT)
CBT
SJT I
V
e
TNkV B439.521
In both cases:I
V
PRL 101, 206801 (2008)
Single Junction Thermometer for T > 77 K
FABRICATED BY Yu. Pashkin, NEC
Single Junction Thermometer
-100 -75 -50 -25 0 25 50 75 1000.88
0.90
0.92
0.94
0.96
0.98
1.00
V1/2
T=77 K
T=42 K
G
/GT
U BIAS
(mV)
V1/2
•Error of ~1% mainly
due to background
NIS-tunnelling and thermometry
0 1 2 30
1
2
3
eR
T I/
eV/
NIS-thermometry
0 100 200 300 400 500 600 700 8000.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
V (
mV
)
T (mK)
I = 3 pA
Probes electron temperature of N island (and not of S!)
-0.6 -0.4 -0.2 0.0 0.2 0.4-6
-4
-2
0
2
4
6
215mK
250mK
285mK
320mK
360mK
395mK
430mK
I (n
A)
V (mV)
38mK
48mK
78mK
110mK
145mK
180mK
Outlook
Electronic primary thermometers, SNT, CBT and SJT
presented as prime examples, show great promise
1. as practical calibration-free on-chip thermometers over a
wide temperature range
2. in realising the temperature scale, based on a fixed value
of the Boltzmann constant, in the sub - 10 K regime
Problems:
Measurement of SNTs is not straightforward
CBTs suffer from self-heating at the lowest temperatures
NANO-REFRIGERATION
Refrigeration on-chip
Thermoelectric refrigeration
Peltier refrigerators,
Peltier 1834
Thermionic refrigeration,
Mahan, 1994
Korotkov and Likharev, 1999
Quantum-dot refrigerator,
Edwards et. al., 1993
Experiment: Prance et al.,
PRL 102, 146602 (2009).
Refrigeration by tunnelling
Energy current in a tunnel junction
In order to find energy current (from conductor 1) one replaces e by E – eV in the
corresponding expression:
Compare to:
For a NIN junction, we obtain
This means that the Joule power is divided evenly between 1 and 2.
NIS junction as a refrigerator
Optimum cooling power is
reached at V /e:
Cooling power of a
NIS junction:
Optimum cooling power of a NIS junction at TS ,TN<< TC
Efficiency (coefficient of performance) of a NIS
junction refrigerator:
SINIS structure
S
probe junctions
N SVc/2
S
V/2
-Vc/2
cooler junctions
Basic idea:
- bias voltage Vc modifies electron distribution f(E) on N island
- probe junctions measure modified f(E)
S
-V/2
N
Early experiments
M. Leivo et al., 1996
Cooling of a superconductor
(SIS’IS cooler)
Ti – Al
sample
[TC(Ti) = 0.5 K,
TC(Al) = 1.3 K]
A. J. Manninen et al., Appl. Phys. Lett. 74, 3020 (1999).
COOLING FROM NORMAL TO
SUPERCONDUCTING STATE
Experimental status
A. Clark et al., Appl. Phys. Lett. 86, 173508 (2005).
Refrigeration of a ”bulk” object
Nahum, Eiles, Martinis 1994 Demonstration of NIS cooling
Leivo, Pekola, Averin 1996, Kuzmin 2003, Rajauria et al. 2007 Cooling electrons 300 mK
-> 100 mK by SINIS
Manninen et al. 1999 Cooling by SIS’IS see also Chi and Clarke 1979 and Blamire et al.
1991, Tirelli et al. 2008
Manninen et al. 1997, Luukanen et al. 2000 Lattice refrigeration by SINIS
Savin et al. 2001 S – Schottky – Semic – Schottky – S cooling
Clark et al. 2005, Miller et al. 2008 x-ray detector refrigerated by SINIS
Prance et al. 2009 Electronic refrigeration of a 2DEG
Kafanov et al. 2009 RF-refrigeration
For a review, see Rev. Mod. Phys. 78, 217 (2006).
RF-refrigerator
Question: can one cool the island of a single-electron box by gate?
Typical cooling cycle
J. P. , F. Giazotto, O.-P. Saira, PRL 98, 037201 (2007)
Influence of photon assisted tunneling: N. Kopnin et al., PRB 77, 104517 (2008)
RF-refrigerator - experiment
2
S. Kafanov et al., PRL 2009
Hybrid single-electron turnstile
(SINIS)
DC properties of the coolerSource-drain voltage cools the island, measured current yields temperature
Results of the RF experiments
eV
A
G- G+
G- / G+ = e -eV/kT
DC current provides
thermometry for RF
cooling
[e] [e]
[K]
Curiosity experiments and (till now)
Gedanken experiments
Quantum of thermal conductance
Brownian refrigerator
Temperature fluctuations
Quantized conductance
Electrical
conductance in a
ballistic contact:
Thermal
conductance:
GQ and sQ related by Wiedemann-Franz law
More generally:
Expression of GQ is expected to hold for carriers obeying arbitrary
statistics, in particular for electrons, phonons, photons (Pendry 1983,
Greiner et al. 1997, Rego and Kirczenow 1999, Blencowe and Vitelli
1999).
Electrons:
Example of quantized thermal
conductance: phonons in a nanobridge
K. Schwab et al., Nature 404, 974
(2000)C. Yung, D. Schmidt and A. Cleland,
Appl. Phys. Lett. 81 31 (2002)
Electromagnetic transfer of heat
(photons)
Lattice
Electrical
environment
Electron
system
Schmidt et al., PRL 93, 045901 (2004)
Meschke et al., Nature 444, 187 (2006)
Ojanen et al., PRB 76, 073414 (2007), PRL 100, 155902 (2008)D. Segal, PRL 100, 105901 (2008)
Gn
Heat transported between two resistors
Impedance matching:
Radiative contribution to net heat flow
between electrons of 1 and 2:
Linearized expression
for small temperature
difference
T = Te1 – Te2:
Classical or quantum heat transport?
w
wC
w
wC
”Classical” ”Quantum”
Classical or quantum heat transport?
Classical:
Quantum limited:
Johnson,
Nyquist 1928
Demonstration of photonic heat
conduction
10 µm
R2 R1
x
x
x
x
LJ
CJ
Tunable
impedance
matching using
DC-SQUIDs
F
M. Meschke, W. Guichard and J.P., Nature 444, 187 (2006)
enGn
90
95
100
105
110
115
120
125
155
160
165
170
105mK
118mK
T0 = 167mK
60mK
75mK
157mK
T (m
K)
F (a.u.)
e1
Thermal
model
2nd experiment
SAMPLE A in a loop (”matched”)
[SAMPLE B without loop (”not
matched”)]
Heat transport in different set-ups
r << 1T1
R
T2
R
C
~ ~
r ~ 1T1
R
T2
R
C
~ ~
Linear
geometry
(Sample B)
Loop
geometry
(Sample A)
for small temperature difference
in the present experiment
Results in the two
sample geometries
Heat transported by
residual quasiparticles
at T > 0.3 K and by
photons (in the loop
sample) at T < 0.3 K
QuasiparticlesA. Timofeev et al., PRL 2009
Brownian refrigerator
Heat flows from hot to cold by
photon radiation
This happens between
two resistors
The situation is identical if
we replace one resistor by
an ordinary tunnel junction
N N
R, TR
RT, TN
N N
R, TR
RT, TN
Harmonic vs stochastic drive in
refrigeration
N S
R, TR
RT, TN,S
N S
R, TR
RT, TN,S
N S
R, TR
RT, TN,S
N S
R, TR
RT, TN,S
N S
R, TR
RT, TN,S
N S
R, TR
RT, TN,SSinusoidal bias –
Refrigerates N if
frequency and
amplitude are not
too high
Stochastic drive –
Refrigerates N if
spectrum is
”suitable”
Brownian
refrigerator?
Brownian refrigerator
CO
OL
ING
PO
WE
R O
F N
(fW
)
N S
R, TR
RT, TN,S
N S
R, TR
RT, TN,S
J.P. and F. Hekking, PRL 98, 210604 (2007)
Preliminary experiment on the
Brownian refrigerator
A. Timofeev et al., unpublished
Temperature fluctuations
Temperature fluctuations
Classical temperature fluctuationsAssume that all Ti are equal, and equal to the
average of T (equilibrium fluctuations)
(fluctuation-dissipation theorem)
(balance equation)
(Fourier transform into noise spectra)
Classical temperature fluctuations
Example system: electrons in the
phonon bath
In this grain at T = 100 mK, = (10 mK)2.
0.01 0.1 1 10
ST
f / fC
Cut-off frequency fcdetermined by electron-
phonon relaxation rate, it
varies in the range 10 kHz –
10 MHz: suitable for a
measurement.
electrons
phonon bath
Preliminary measurements
Experimental setup
Magnitude response: Phase response:
Resonance:
Quality factor:
Optimal bias point:
-1 0 1
-2
0
2
Vp [mV]
I p[¹
A]
I p
CBT results for an array
V (mV)G
/GT
Uniform array, EC << kBT:
CBT sensors
1 mm
Long arrays suppress efficiently the errors
due to co-tunnelling and finite impedance of
the electromagnetic environment.
Parallel arrays lower the sensor impedance
to a convenient value.
Another configuration is a 2D array,
employed by T. Bergsten et al., APL 78, 1264
(2001).
”Low T”
”High T”
NIS-thermometry
This method is self-calibrating and can be considered
(almost) primary
On-Chip Cooling/small junctions
Cooling of electrons from 0.3 K to 0.1 K (M.M. Leivo, J.P. Pekola, and D.V:
Averin, Appl. Phys. Lett. 68, 1996 (1996).)
Cooling of lattice from 0.2 K to 0.1 K (A. Luukanen, M.M. Leivo, J.K. Suoknuuti,
A.J. Manninen, and J.P. Pekola, JLTP, 120, 281 (2000).)
Schottky barrier coolers with super-
conductor and heavily doped silicon
60mm
30mm
I
Ith
I
Uth
A. M. Savin et al., Appl. Phys. Lett. 79, 1471 (2001).
Schottky barrier coolers – results
-0.4 0.0 0.4
100
200
300
400
30.04.2001, X3F2, cooler 20x30
T /m
K
V / mVI0
I
V
-0.5 0.0 0.5
-0.1
0.0
0.1
812 mK
940 mK
1060 mK
1340 mK
100 mK
163 mK
255 mK
424 mK
631 mK
I / mA
V / mV
Thermometry by S-Sm-S Schottky barrier Cooling results
2nd experiment
SAMPLE B (”mismatched”)
N S N
Results in the two sample geometries
BLUE LINE: Directly cooled resistor
RED LINE: Remote resistor