We study metal-insulator-semiconductor tunnel junctions where the metal electrode is a patterned gold layer, the insulator is a thin layer of Al2O3, and the semiconductor is p-type silicon. We observe light emission due to plasmon-assisted inelastic tunneling from the metal to the silicon valence band. The emission cutoff shifts to higher energies with increasing voltage, a clear signature of electrically driven plasmons. The cutoff energy exceeds the applied voltage, and a large fraction of the emission is above the threshold, ℏω > eV. We find that the emission spectrum manifests the Fermi-Dirac distribution of the electrons in the gold electrode. This distribution can be used to determine the effective electron temperature, Te, which is shown to have a linear dependence on the applied voltage. The strong correlation of Te with the plasmon energy serves as evidence that the mechanism for heating the electrons is plasmon decay at the source metal electrode.
We study metal-insulator-semiconductor tunnel junctions where the metal electrode is a patterned gold layer, the insulator is a thin layer of Al2O3, and the semiconductor is p-type silicon. We observe light emission due to plasmon-assisted inelastic tunneling from the metal to the silicon valence band. The emission cutoff shifts to higher energies with increasing voltage, a clear signature of electrically driven plasmons. The cutoff energy exceeds the applied voltage, and a large fraction of the emission is above the threshold, ℏω > eV. We find that the emission spectrum manifests the Fermi-Dirac distribution of the electrons in the gold electrode. This distribution can be used to determine the effective electron temperature, Te, which is shown to have a linear dependence on the applied voltage. The strong correlation of Te with the plasmon energy serves as evidence that the mechanism for heating the electrons is plasmon decay at the source metal electrode.
Electrically driven plasmonic
devices have gained recent interest due to the unique opportunity
they offer to tune the emitted spectrum through applied voltage.[1−4] This may be applied to on-chip communication[5,6] and
also serve as a research tool, allowing access to dark plasmonic modes
that are not accessible through external optical excitation.[7] The general idea that light can be generated
in metal–insulator–metal tunnel junctions was first
demonstrated more than four decades ago.[8−10] A renewed interest in
this phenomenon was sparked in the early 1990s, when light emission
was reported in scanning tunneling microscopy (STM) experiments.[11,12] Recent technological advances in nanometer-scale fabrication and
the discovery of new materials (i.e., 2D materials) introduced rich
platforms for further study and utilization of this phenomenon.[13]Early studies led to a relatively simple
and straightforward model
for light emission in tunnel junctions:[16,17] electrons
that tunnel from occupied states in one electrode to unoccupied states
in the second electrode may lose their excess energy through excitation
of a plasmon (either localized or propagating surface plasmon (SP)),
which may consequently be scattered into free-space detectable photons.
The spectrum of this plasmonic excitation can be derived from the
noise power spectrum, Iω, of the
tunneling current, where the Poissonian statistics of the tunneling
events is manifested as time-dependent fluctuations, or equivalently,
using Fermi’s golden rule. Accordingly, one may express the
noise power aswhere ⟨j|T̂|i⟩ is the tunneling
matrix element,
and f(E) and f(E) are the occupation probabilities of the initial and final
states, respectively. The emitted optical power can then be expressed
as S(ω) = |Iω|2ρ(ω), with ρ(ω) being
the SP spectrum of the device. At the limit of an energy-independent
tunneling coefficient and zero temperature, one can approximate this
expression bywhere R0 is the
DC junction resistance and V is the applied voltage.[14,18] This approximation implies that the applied voltage determines the
maximal energy of the emitted photons, ℏωmax = eV.This simplified derivation
was challenged by numerous reports of
above-threshold light emission (ATLE), where ℏωmax > eV. STM experiments showed
evidence for ℏωmax = 2eV,[12,19,20] and a model suggesting correlated tunneling of two electrons, which
interact with a plasmon-polariton mode, was shown to reproduce the
experimental data. Measurements of the ATLE intensity, performed on
metallic break-junctions, found that it scales with √P, where P = IV is the
electrical power.[21] This observation led
the researchers to conclude that the ATLE is due to blackbody radiation
of the electron gas of the drain electrode. It was argued that the
elevated temperatures are caused by the dissipation of the energy
carried by the tunneling electrons.On the other hand, a recent
study done on ensembles of break-junctions
of different metals showed that the electron-gas effective temperature, Te, depends linearly on the applied voltage.[22] This linear dependence led the authors to suggest
that the heating of the electrons is due to a nonradiative decay of
electrically excited localized plasmons at the drain electrode. It
was argued that this decay excites an electron above the metal Fermi
energy, EF, thus creating electron and
hole gases, each having a Boltzmann distribution with higher effective
temperature. Accordingly, the light emission mechanism is not blackbody
radiation, but rather the recombination of these hot electrons and
holes.In this work, we revisit this problem by studying light
emission
in a metal–insulator–semiconductor (MIS) tunnel junction
under a reversed bias condition; more explicitly, electrons are injected
from the metal to the semiconductor. In contrast to previous ATLE
measurements, conducted in STM or break junction systems, the MIS
structure allows us to define a clear plasmon resonance and study
separate processes that occur in the source and in the drain. We show
that this structure gives rise to light emission by inelastic tunneling
of metal electrons to the semiconductor valence band, a significant
part of which appears at above-threshold energies, ℏω > eV. The existence of ATLE in this structure,
where there are no electrons to heat in the drain, allows us to refute
the models attributing the heating to interactions of the tunneling
electrons[21] or plasmons[22] with the electron gas in the drain. Instead, we show that
the ATLE manifests the high-energy tail of the Fermi–Dirac
distribution of the electrons at the metal electrode, which, in our
case, is the source electrode. We find that the temperature of these
electrons, Te, scales linearly with voltage
as long as the emission cutoff energy is within the broad plasmon
bandwidth. At higher voltages, Te exhibits
a much smaller dependence on voltage and increases at a slower rate.
We show that this finding implies that electron heating is caused
by plasmons that give their energy to the metal electron bath.The structure we use is depicted in Figure a. It consists of a p-type silicon substrate
(Na = 1 × 1015 cm–3), a 3 nm Al2O3 barrier deposited
by atomic layer deposition (ALD), and a thermally evaporated 10 nm
top gold electrode. We characterized the thickness of the oxide layer
using ellipsometry (Woolam M-2000) and atomic force microscopy (Bruker
Dimension Icon) and found good uniformity across the wafer (see Supporting Information). To ensure proper adhesion
of the gold layer to the oxide barrier, a thin titanium layer of ∼1
nm is deposited before the gold evaporation. Since such an adhesion
layer damps the plasmonic field,[23,24] we attempted
to make it as thin as possible. We note that, in our case, this damping
could be even more critical since electron tunneling, which is the
source of plasmon excitation in the gold layer, occurs from the titanium
layer. Finally, a second patterned gold layer, made of nine periodic
arrays, each 3 × 3 μm2, consisting of elongated
bars with different bar periodicities, is deposited on the structure
using electron-beam lithography. The width and thickness of the bars
are 100 and 30 nm, respectively, and their lengths vary from 100 to
500 nm between different samples. The bars on the sample shown in
this paper are of size 100 nm by 500 nm (Figure b), and measurements of other samples are
shown in the Supporting Information. The
structure is patterned to form a 10 × 10 μm2 mesa, with electrical contacts to the substrate and metal electrodes.
Figure 1
(a) A
scheme of the sample structure. A p-type silicon substrate
is coated with a 3 nm layer of Al2O3 using ALD
and a 10 nm layer of gold using thermal evaporation. A periodic array
of identical gold bars is fabricated using electron-beam lithography.
The width and thickness of the bars are 100 and 30 nm, respectively,
and their length varies from 100 to 500 nm in different devices. (b)
A top-view SEM image of the bar pattern. The scale bar length is 500
nm. (c) A diagram of the band structure near the tunnel junction.
ϵF,m and ϵF,s are the gold and silicon
Fermi energies, respectively. V is the applied voltage,
and ϕs is the surface potential in the silicon due
to the band bending. In green is the Fermi–Dirac distribution
function for a given effective temperature, Te. (d) A plot of the current vs voltage of the device. The
inset shows the same data on a logarithmic scale. The red circles
mark the voltage range at which light emission measurements were performed.
(a) A
scheme of the sample structure. A p-type silicon substrate
is coated with a 3 nm layer of Al2O3 using ALD
and a 10 nm layer of gold using thermal evaporation. A periodic array
of identical gold bars is fabricated using electron-beam lithography.
The width and thickness of the bars are 100 and 30 nm, respectively,
and their length varies from 100 to 500 nm in different devices. (b)
A top-view SEM image of the bar pattern. The scale bar length is 500
nm. (c) A diagram of the band structure near the tunnel junction.
ϵF,m and ϵF,s are the gold and silicon
Fermi energies, respectively. V is the applied voltage,
and ϕs is the surface potential in the silicon due
to the band bending. In green is the Fermi–Dirac distribution
function for a given effective temperature, Te. (d) A plot of the current vs voltage of the device. The
inset shows the same data on a logarithmic scale. The red circles
mark the voltage range at which light emission measurements were performed.Figure c shows
the band structure of the device under a reverse-bias condition. At
large voltages, the silicon bands bend, and a hole-accumulation layer
is formed near the barrier.[25] At an applied
voltage of 2–3 V, the band-bending region extends over ∼100
nm. Hence, the probability of ballistic transport of electrons, which
tunnel through the conduction band barrier and releases their energy
via photon emission, is very low. We also note that the indirect nature
of the silicon band structure strongly inhibits light emission by
electron–hole recombination in the semiconductor drain electrode.
Hence, light emission in this structure can only occur through inelastic
tunneling of electrons from the metal into the hole’s accumulation
layer. At the opposite polarity, the current comes from the minority
charge electrons at the semiconductor that flow to the metal electrode.
In this case, the number of electrons that can tunnel is much smaller,
and hence, no significant light emission is expected. Indeed, this
asymmetry is well manifested in the current versus voltage curve (Figure d).Let us
now turn to the experimental results. Upon application of
a negative voltage to the source, we observe the appearance of a large
number of diffraction-limited bright spots on the mesa (Figure a). Their intensity increases
linearly with the current through the device (see Supporting Information). We verified that when the polarity
of the devices is reversed no light emission is observed at any voltage.
We find a clear correlation between the appearance of spots and titanium
layer thickness: The density of the emission spots and the yield of
light-emitting devices increase as this layer is made thinner. At
a layer thickness of ∼1 nm, about half of the measured devices
show spotty light emission. We conclude that the presence of the adhesion
layer suppresses light emission and suspect that the spots come from
small regions where the gold layer is in direct contact with the oxide
tunnel barrier.
Figure 2
(a) An optical microscope image of the emission, which
is taken
in a dark ambiance and is superimposed on an image of the illuminated
sample. The bright emitting spots are clearly visible. (b) The measured
spectra (normalized by the camera response) under different applied
voltages between 1.4 V and 3 V, in steps of 0.2 V. (c) The integrated
light intensity (black-red) and the measured current (blue) as functions
of the voltage. (d) The same spectra as in panel b plotted on a logarithmic
scale and divided by the tunneling currents at the corresponding voltage.
The blueshift of the cutoff energy with increasing voltage is clearly
seen.
(a) An optical microscope image of the emission, which
is taken
in a dark ambiance and is superimposed on an image of the illuminated
sample. The bright emitting spots are clearly visible. (b) The measured
spectra (normalized by the camera response) under different applied
voltages between 1.4 V and 3 V, in steps of 0.2 V. (c) The integrated
light intensity (black-red) and the measured current (blue) as functions
of the voltage. (d) The same spectra as in panel b plotted on a logarithmic
scale and divided by the tunneling currents at the corresponding voltage.
The blueshift of the cutoff energy with increasing voltage is clearly
seen.Figure b shows
the measured spectra at various applied voltages for one of the measured
devices. The variability of the spectra between the spots is rather
small, and we present here the integrated signal from all of the spots.
It is seen that, as the current through the device increases, the
spectrum increases in amplitude (Figure c). A remarkable feature in the spectra,
which is a well-known footprint of the electrically driven plasmon,
is the shift of the cutoff energy to higher energies with voltage.
In Figure d, we replot
the spectra on a logarithmic scale and normalize each by the current
at the corresponding voltage. It is seen that the spectra evolve under
the envelope of the plasmon resonance (defined by the spectrum at
high voltage), such that their low energy sides overlap and their
cutoff energies, ℏωmax, shift to higher values
with voltage. Examining devices with different patterns, we find that
the emission line shape depends on the aspect ratio of the bars but
not on the array periodicity, indicating that the electrically driven
plasmon is localized.In Figure , we
show a few examples of the measured spectra, at V = 1.6, 1.8, 2.0, and 2.2 V, where the regimes in which ℏω
> eV are shaded in red. A significant fraction
of
the emission spectrum resides at energies above the applied voltage.
To analyze the spectral dependence on voltage, we factor out the contributions
of the voltage-independent terms in the expression for the power spectrum.
This is achieved by dividing each spectrum by the one measured at
the highest voltage, V0 = 3 V, similarly
to the normalization performed in refs (21) and (22). Indeed. It is evident from Figure b,d that, at high voltages, the emission
spectrum ceases to change, and the plasmonic spectrum is fully recovered
Figure 3
(Left
panels) Measured spectra (normalized by the camera response)
at several voltages between 1.6 and 2.2 V. The shaded areas mark the
above-threshold light emission (ATLE). (Right panels) The spectra
divided by the emission spectrum at 3 V (black) and the fits to a
Fermi–Dirac distribution (dashed red). The fitted value of
ε and Te are specified for each
voltage.
(Left
panels) Measured spectra (normalized by the camera response)
at several voltages between 1.6 and 2.2 V. The shaded areas mark the
above-threshold light emission (ATLE). (Right panels) The spectra
divided by the emission spectrum at 3 V (black) and the fits to a
Fermi–Dirac distribution (dashed red). The fitted value of
ε and Te are specified for each
voltage.It is easy to see that if we consider
tunneling to the top of the
silicon valence band only, this division should simply yield the Fermi–Dirac
distribution of the electrons in the metal, .Here ε(V) = V + Δ – φs is the difference
between the gold Fermi energy and the top of the silicon valence band
(see Figure c), φs is the surface potential, Δ is the height of the silicon
Fermi level above the valence band, and Te(V) is the electron temperature at that voltage.
Since the surface hole density is relatively low, the distribution
at the semiconductor side of the junction, 1 – f(E), could be well
approximated by a step function. The right panels of Figure show the corresponding divided
spectra, together with the fits to f(ω,V). It is seen that a very good fit is obtained for all
spectra.The fits to a Fermi–Dirac function allow us
to extract the
values of ε and Te for each voltage.
We find that ε(V) increases monotonously with
voltage and gives rise to the blueshift of the emission spectrum with
increasing voltage. We note, however, that there is a difference between
ε(V) and the applied voltage, ε(V)-V = Δ – φs, due to the
silicon band bending. Hence, this measurement allows us to determine
the voltage dependence of the surface potential directly (see Supporting Information).Let us turn now
to examine the behavior of the electron temperature
(Figure b). The black
symbols are the calculated Te for the
device described above. Two voltage regimes can be clearly identified:
a low-voltage range, 1.4 < V < 2.0 V, where Te increases at a high slope, and a high-voltage
range, 2.0 < V < 3.0 V, where the temperature
increase with voltage is much slower. To understand this behavior,
we compare it to the voltage dependence of ℏωmax, extracted from the spectra of the device depicted in Figure and marked by the green line
in Figure b. We note
that while the determination of the cutoff energy is somewhat arbitrary,
the result of this analysis is insensitive to the exact level at which
we set the cutoff. It is clearly seen that as the applied voltage
exceeds the peak of the plasmon spectrum at ∼2 eV, the blueshift
of ℏωmax slows down considerably, limited
by the sharp falling edge of the plasmon spectrum. This is in excellent
correlation with the behavior of Te(V), therefore providing a clear indication for the mechanism
responsible for ATLE: plasmon–electron interactions at the
metal source electrode excite electrons above the Fermi level.[26] These hot electrons quickly thermalize among
themselves and form a Fermi–Dirac distribution at a temperature Te, which is higher than the lattice temperature.[22] Since the quantum of energy that is given to
the electron bath in such an interaction is proportional to the plasmon
energy, we should get that kBTe ∝ ℏωmax, where B is the Boltzmann constant.
A confirmation for this interpretation is provided by the behavior
of another device, in which the plasmon resonance is at much lower
energy, 1.3 eV (red curve in the inset of Figure b). The electron temperatures for this device
(red symbols) are much lower and its voltage dependence at V > 1.3 V is the same as the first device at voltages
larger
than the resonance, V > 2 V. This reaffirms the
critical
role of the plasmons in the electron heating (see further measurements
in the Supporting Information).
Figure 4
(a) Dependence
of the surface potential, φs, on
voltage. The gray line marks the Fermi energy with respect to the
top of the bulk silicon valence band. (b) In black are the electron
temperatures as derived from the fits to a Fermi–Dirac distribution
for the device described in previous figures. In dashed blue is the
linear extrapolation of the low-energy part of the curve. The crossing
of the 300 K level (dashed gray line) is at 1.1–1.2 V. For
comparison, in red are the effective electron temperatures of another
device, with a distinct plasmon resonance at 1.3 eV. The green solid
lines mark the dependence of ℏωmax on voltage.
(It is set at the photon energy where the emission intensity drops
to 10% of its maximal value.) The inset shows the normalized emission
spectrum of the two devices (in arbitrary units) at high voltage.
(a) Dependence
of the surface potential, φs, on
voltage. The gray line marks the Fermi energy with respect to the
top of the bulk silicon valence band. (b) In black are the electron
temperatures as derived from the fits to a Fermi–Dirac distribution
for the device described in previous figures. In dashed blue is the
linear extrapolation of the low-energy part of the curve. The crossing
of the 300 K level (dashed gray line) is at 1.1–1.2 V. For
comparison, in red are the effective electron temperatures of another
device, with a distinct plasmon resonance at 1.3 eV. The green solid
lines mark the dependence of ℏωmax on voltage.
(It is set at the photon energy where the emission intensity drops
to 10% of its maximal value.) The inset shows the normalized emission
spectrum of the two devices (in arbitrary units) at high voltage.A remarkable feature in Figure b is that, as the Te(V) curve is extrapolated to low voltages
(dashed blue line),
it crosses Te = 300 K at V ≈ 1.1–1.2 V, where the gold Fermi level is aligned
with the silicon conduction band (Figure c). Under this condition, the electron wave
function extends into the silicon conduction band, and its overlap
integral with the hole wave function increases, giving rise to a sharp
increase of the tunneling probability. It is easy to realize that
the other inelastic tunneling process, by a deep electron from the
gold layer to the silicon valence band, has a much lower probability.
We can thus conclude that the onset of plasmon emission occurs at V ≈ Eg, where Eg is the silicon gap. The fact that this onset
is manifested in the Te(V) curve provides strong confirmation of the validity of our analysis.
We believe that this finding, together with the two-slopes behavior
of Te(V) and the excellent
fits to a Fermi–Dirac distribution, provides convincing evidence
that the mechanism for ATLE is heating of the electron bath by plasmon
decay.In the concluding part of this paper, we wish to comment
on the
potential applications of our findings. The realization of a silicon-based
light-emitting device, where the applied voltage determines the emission
spectrum, may allow easy integration of photonic devices in integrated
circuits. Such tunnel devices can be switched at very high speed and
miniaturized to a size of a few nm, compatible with the demands of
silicon electronics.
Authors: Terefe G Habteyes; Scott Dhuey; Erin Wood; Daniel Gargas; Stefano Cabrini; P James Schuck; A Paul Alivisatos; Stephen R Leone Journal: ACS Nano Date: 2012-06-05 Impact factor: 15.881
Authors: Mickael Buret; Alexander V Uskov; Jean Dellinger; Nicolas Cazier; Marie-Maxime Mennemanteuil; Johann Berthelot; Igor V Smetanin; Igor E Protsenko; Gérard Colas-des-Francs; Alexandre Bouhelier Journal: Nano Lett Date: 2015-08-05 Impact factor: 11.189