Applied Physics B (2018) 124:144
https://doi.org/10.1007/s00340-018-7013-y
Tuning quantum cascade laser wavelength by the injector doping
Grzegorz Hałdaś1 · Andrzej Kolek1 · Dorota Pierścińska2 · Piotr Gutowski2 · Kamil Pierściński2 · Maciej Bugajski2
Received: 29 January 2018 / Accepted: 14 June 2018 / Published online: 23 June 2018
© The Author(s) 2018
Abstract
Tuning the wavelength of emitted radiation is a tremendous feature of quantum cascade lasers which enables their use in
various applications. Usually, this tuning is executed by the change of the bias current or the temperature. In this paper, it is
demonstrated, both experimentally and theoretically, that yet another possibility of tuning laser wavelength offers the change
of doping density. For the experimental demonstration, a set of GaAs/AlGaAs devices emitting in the range 9.3–9.7 µm
was MBE grown and processed. For the theoretical analysis, the simulations that employ nonequilibrium Green’s function
formalism, applied to the single-band effective mass Hamiltonian, are used. The analysis shows that the physical mechanism
responsible for wavelength-doping correlation is a linear Stark effect. The range of tuning is limited on both low and high
doping side. Both these limits are established and discussed.
1 Introduction
The well-known feature of a quantum cascade laser (QCL),
which enables this device being used in gas tracing systems,
is the possibility of tuning the wavelength of the emitted
radiation. The wavelength of a QCL is tuned by changing
either the laser temperature and/or the bias current [1]. Temperature tuning provides a broad tuning range; however, it
is slow as the whole submount and laser needs to be temperature-controlled. Through the use of a buried heater element, the active region temperature can be modified without
changing the submount one. This method has been successfully applied to buried heterostructure lasers, becoming an
attractive solution for molecular spectroscopy [2]. The short
period length and the diagonal nature of the laser transitions
in QCLs guarantee an additional tuning mechanism of the
emission due to the linear Stark effect [3].
The influence of doping density on the performance of
QCLs, working in mid-infrared (MIR) range, has been studied mainly in the context of dynamic working range and
efficiency [4–8], with only a limited number of experimental
investigations, undertaken to clarify its influence on emission characteristics [9]. While, for the obvious reasons, this
method cannot be used for tuning devices mounted onboard
the sensing systems, it seems attractive for the preselection
of the spectral range when designing devices dedicated for
specific applications. In this paper, this possibility is demonstrated both experimentally and theoretically. The basic theoretical tool employed in the analysis is numerical modeling.
It is shown that the Stark shift is the physical mechanism
responsible for the observed phenomenon, which otherwise
is limited to the certain range of doping densities.
2 Experiment
This article is part of the topical collection “Mid-infrared and THz
Laser Sources and Applications” guest edited by Wei Ren, Paolo
De Natale and Gerard Wysocki.
* Grzegorz Hałdaś
[email protected]
1
Department of Electronics Fundamentals, Rzeszow
University of Technology, al. Powstańców Warszawy 12,
35-959 Rzeszow, Poland
2
Institute of Electron Technology, Al. Lotników 32/46,
02-668 Warszawa, Poland
Experiments were performed with the GaAs/Al0.45Ga0.55As
devices that utilize resonance phonon depopulation scheme.
The 3-well active region design of [10, 11] was adopted:
the layer sequence in the single QCL module was: 4.6, 1.9,
1.1, 5.4, 1.1, 4.8, 2.8, 3.4, 1.7, 3.0, 𝟏.𝟖 , 2.8 , 𝟐.𝟎 , 3.0 , 2.6,
3.0 nm, starting from the injection barrier. The AlGaAs
layers are denoted in bold. The underlined layers are
n-doped. The injector doping was in the range 3.4 × 1017
to 8.0 × 1017 cm−3. Only two-barrier quantum well pairs in
the central part of each injector were doped. The structure
13
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containing 36 modules was grown by MBE. TEM image
and schematics of the grown structure are shown in Fig. 1.
The structure used a double-plasmon Al-free waveguide for planar optical confinement. The core of the
structure was embedded in the lightly doped waveguide
composed of 3.5 µm thick n-GaAs layers on each side
( n = 4.0 × 1016 cm−3 ), terminated by 1 µ m thick highly
Si-doped ( n = 1.0 × 1019 cm−3 ) GaAs layers. For such a
waveguide, the optical losses and the confinement factor
were estimated in the range 𝛼w =16–20 cm−1 and Γ = 0.31,
respectively [12]. The double trench lasers with 3 mm × 25
µm current windows were fabricated using standard processing technology [13]. The facets were uncoated, so the mirror
losses can be estimated as 𝛼m ≅ 5 cm−1.
In the experiment, only the injector doping was subjected
to the variation: the devices doped to different density Ndop
in the range 3.4–8.0 ×1017 cm−3 were fabricated and characterized. Current–voltage–light characteristics and lasing
spectra were measured. For the latter, the experimental strategy was to keep the parameters, which are known to influence the wavelength, constant. In QCLs, the lasing takes
place for the current density J above the threshold value
Jth . The threshold current is known to depend quite a bit on
doping density at high temperatures [4, 6], and much more
weakly at low temperatures [5, 6, 8]. This is because the
major gain-deteriorating mechanism is thermal backfilling of
lower laser state [14]. At high temperatures, the distribution
of electrons that occupy injector states has a long energy tail
reaching the lower laser state. Then, the increasing doping
results in the increasing filling of this state and decreased
population inversion. At low temperatures, the redistribution
of the electrons, due to the increasing doping, is limited to
Fig. 1 a Structure of GaAs/
AlGaAs QCL, b TEM image
of a few periods of the active
region. The Al0.45 Ga0.55 As barrier layers give darker contrast;
the GaAs wells are brighter
13
G. Hałdaś et al.
the injector states, so the population of the lower state is not
so much affected [13, 14]. Data in Fig. 2, collected for our
devices, are in full correlation with this scenario: the threshold current remains practically unchanged when T < 100 K,
while at higher temperatures, it depends strongly on doping
density. Making the planned experiment above T > 100 K
may then result in a disappearance of the lasing when the
threshold current exceeds the measurement current. Therefore, our experimental temperature was fixed at 77 K, at
which the threshold current hardly depends on the doping
density. The devices were also chosen to have similar characteristic temperature T0 , regardless of doping (see Fig. 2).
Fig. 2 Threshold current density vs. injector doping. Characteristic
temperature T0 for data series are: 100, 107.5, 93.9 K for doping densities: 4, 6, 8 × 1017 cm−3, respectively. Inset: temperature dependence
of the threshold current at 77 K
Tuning quantum cascade laser wavelength by the injector doping
The condition J = const > Jth was fulfilled assuming
J = 1.5Jth ≅ 6.0 kAcm−2 . The emission spectra of lasers
with different injector doping densities, together with their
L–I–V characteristics, are shown in Fig. 3. The internal
differential quantum efficiency of the devices appears to
depend on doping density in a systematic manner: it drops
from 40% for the lowest doped device to 13% for the highest doped device. The wavelength-doping correlation is
also clear; the red shift of the spectra is observed with
the increasing injector doping. Roughly 50 cm−1 shift of
the emission spectrum is recorded for the doping range
investigated. To ensure that the observed shift cannot be
attributed to any thermal effect, the latter was carefully
studied, like in [15]. For 200 ns pulse duration used in the
experiment, the registered, thermal-induced( wavelength)
shift during the pulse was Δ𝜆 = 5.44 nm 0.619 cm−1
which is almost 2 orders of magnitude lower than the one
caused by the changing doping.
(a)
(b)
Fig. 3 a L–I–V characteristics and b the emission spectra for GaAs/
AlGaAs QCLs doped to different densities measured with 200 ns
pulse duration and 5 kHz repetition. The lasers are otherwise identical
Page 3 of 7
144
3 Model
QCL is the unipolar n-type device, so the theoretical analysis can be limited to a one-band Hamiltonian. For stratified devices, there is a translational symmetry in-plane of
the layers, which allows for further simplification to onedimensional (1D) Hamiltonian parametrized for the in-plane
momentum k. The full non-interacting effective mass Hamiltonian reads:
H(k) =
1
d
−ℏ2 d
ℏ2 k 2
+ V(z) +
,
2 dz m(E, z) dz
m(E, z)
(1)
where the potential energy V(z) = Ec (z) + eU + Vsc (z) comprises the conduction band (CB) edge profile Ec (z) , the
external bias U, and the mean field term Vsc (z). Although
Eq. (1) is strictly one-band Hamiltonian, it accounts for mixing with remote (valence) bands
{ through energy-dependent
}
∗
effective mass, m(E, z) = m (z) 1 + [E − Ec (z)]∕Eg (z) . The
in-plane dynamics included by kinetic energy terms uses the
same mass, m(E, z). It was shown that such a formulation
preserves the in-plane non-parabolicity, comparable to the
results predicted by the 8-band k ⋅ p method [16]. The Hamiltonian of Eq. (1) was used with nonequilibrium Green’s
function (NEGF) formalism to get the reliable results which
account for both quantum coherence and scattering. The use
of this method is a must as our conclusions (to be presented
further on) relay on the estimation of the gain peak magnitude, which in this method is calculated without any simplifying assumptions. In other methods, this value may depend
on somewhat arbitrary assumed broadening [17].
In our approach, the equations of NEGF formalism were
solved numerically in the real space. To maintain the subnanometer precision of QCL layers and simultaneously keep
numerical load within reasonable limits, the structure was
mapped onto a non-uniform mesh [18–20]. Only a portion
consisting of one module + one more well and barrier was discretized; the rest of the cascade was mimicked by the contact
self-energies [21–23]. Other self-energies included into the
NEGF formalism account for scattering with: phonons (optical and acoustic), ionized impurities, interfaces roughness
(IR), and alloy disorder. Electron–electron interactions were
included through the mean field calculated by the solution of
the Poisson equation. Out of all self-energies included into
NEGF formalism, only those for IR scattering contain some
arbitrary parameters, related to islands rms height h and average diameter Λ. These are hardly measurable quantities and
usually are evaluated by adjusting experimental and calculated
characteristics [24]. Such a procedure applied to our devices
gives h = 0.19 nm and Λ = 9 nm. Similar values are reported
in the literature, e.g., in [25]. Reasonable estimation of the h
and Λ values is further confirmed by the calculations of optical
gain presented in Figs. 4 and 5. The gain was calculated with
13
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G. Hałdaś et al.
Page 4 of 7
the use of theory presented in [26] in the first order approximation, i.e., the terms 𝛿Σ were ignored.
(a)
gain (cm-1)
100
80
4 Results and discussion
60
40
17
4 10
17
cm
6 10
0
5 10
0.12
-3
cm-3
20
0.11
cm
17
-3
0.13
0.14
photon energy h (eV)
wavelength ( m)
(b)
9.8
9.6
9.4
9.2
2
4
6
8
10
12
doping density (1017cm-3)
In general, a good qualitative agreement between the calculated gain and the experiment is found. Namely: (i) the
gain spectra of Fig. 4 peak at the frequency h𝜈 that corresponds well to the experimental lasing wavelength 𝜆; (ii)
gain peak moves to lower frequencies (higher wavelengths)
when doping density increases; (iii) the ranges of tuning
densities 3–8 ×1017 cm−3 agree quite well; (iv) the sensitivity ∼ 0.4 µ m∕5 × 1017 cm−3 of the lasing wavelength to
the change of doping densities is well reproduced; (v) the
calculated FWHM ≅ 15 meV of the gain spectra agrees with
the reported FWHM ≅ 12 meV of the electroluminescence
[10]; (vi) gain peaks reach the value of 100 cm−1 which is
well above the threshold value (𝛼w + 𝛼m )∕Γ ≅ 60 cm−1 as
expected for the experimental current J = 1.5Jth . The value
of gain peak does not change with doping what can be a
source of important conclusions. For the 3-well, device with
the states numbered in the down–up order, the gain can be
expressed as
g = gc (n3 − n2 ) − 𝛼ISB ,
Fig. 4 a Gain spectra and b gain peak wavelength calculated for
devices with injectors doped to different densities (line and symbols)
compared to the experiment (shaded area)
20
17
4 10
current (kAcm-2)
15
12 1017
10
2 1017
8 1017
17
6 10
(2)
where gc is the gain cross section, 𝛼ISB is the intersubband absorption, and ni are the populations of laser states.
The independence of the gain peak on the doping density
observed in Fig. 4a suggests that all these quantities do not
change under the experimental conditions (constant current and temperature). As the populations are the function
of current (which is kept constant) and the lifetimes, e.g.,
n3 = J𝜏3 ∕e, the conjecture of doping independence can be
extended on all involved lifetimes. In QCL, the transport
is governed by the scattering-assisted resonant tunneling
through the injection barrier, which is well described by the
Kazarinov–Suris formula [27]:
J = eng3
5
1 1017
0
6
7
8
9
10
11
12
voltage (V)
Fig. 5 Current–voltage characteristics predicted by Eq. (3) for several
doping densities (lines) together with the results of NEGF simulations (symbols)
13
2|Ωg3 |2 𝜏||
1 + Δ2 𝜏||2 + 4|Ωg3 |2 𝜏3 𝜏||
,
(3)
where 𝜏|| is the dephasing time and Ωg3 is the coupling
strength of the states involved in the transition, i.e., the laser
upper state 3 and the ground injector state g. Similar to the
lifetime 𝜏3, these quantities hardly depend on the doping
density. On the contrary, the sheet density ng3 of the carriers shared by the states 3 and g increases with the doping
density. To keep the current J constant, this increase must be
compensated by the increased detuning from the resonance
Δ. This mechanism is illustrated in Fig. 5.
The I–V characteristics plotted according to Eq.
(3) were compared to the simulations. While drawing the lines, a linear relation between ng3 and Ndop , and
Tuning quantum cascade laser wavelength by the injector doping
Page 5 of 7
Δ = Vres − V , with Vres = 10 V, was assumed. The horizontal line is pinned to the value of the constant current
density J ≈ 1.5Jth = 5.5 kAcm−2 . As can be seen, both Eq.
(3) and the results of simulation predict a decrease of the
bias voltage V with increasing doping density. This was also
observed in the experiment (see Fig. 3a). The decreased V
transfers then to the decreased separation E3 − E2 of laser
levels and so the energy h𝜈 = E3 − E2 of emitted photons
through the linear Stark effect.
In the range 2–6 × 1017 cm−3 of doping densities, the
results of the simulations follow closely the lines predicted
by Eq. (3). It ensures that the assumption about a linear
relation between ng3 and Ndop is reasonable in that range of
doping density. Situation changes for the higher doping: for
Ndop = 12 × 1017 cm−3 the simulation predicts much lower
detuning from the resonance than predicted by Eq. (3). The
reason for this is that the lower percentage of carriers takes
part in the tunneling though the injection barrier. In Fig. 6b,
the distributions of electrons within QCL module are compared for two doping densities: Ndop = 2 × 1017 cm−3 and
Ndop = 12 × 1017 cm−3.
The center of the mass of the ground injector state is
located in the injection well. Carriers occupying this state
(a)
active wells
0.2
0
-0.1
-0.2
-0.3
injection well
n/Ndop
-0.4
(b) 1.5
and upper laser state contribute to the density ng3. For the
lower doping, the electrons reside mostly in the injection
well and greatly contribute to ng3. For the higher doping,
the electrons reside mostly in the well left-preceding the
injection well, and therefore, the percentage of carriers contributing to ng3 is lower. Then, lower detuning Δ is necessary to compensate increase of ng3 (caused by the increased
doping). This effect may explain the lowering sensitivity
of the lasing wavelength to the changing doping when the
latter goes to higher densities, what can be observed in the
simulation curve in Fig. 4b. However, it cannot explain the
complete saturation of this curve. This must be attributed
to substantial band bending occurring for the highest doping densities. When doping increases, then, according to
Eq. (3), the bias voltage U must decrease to keep the current constant. At low doping densities, there is little band
bending, and so the local field in active wells, Fa-w , equals
approximately the mean field ⟨F⟩ = U∕L , where L is the
length of the structure. Then, the energetic separation of
laser levels, E3 − E2, decreases due to the linear Stark effect.
With the increasing doping, the bands bend upward in the
injector wells, where most of the charge is accumulated.
Therefore, the field in the remaining (active) wells must be
higher than the average field, Fa-w > ⟨F⟩. This means that
when doping increases (bias voltage decreases), Fa-w drops
less than ⟨F⟩ (see Fig. 6a). Consequently, the Stark shift is
less sensitive to the increasing doping when the latter goes
to large values. Our numerical simulations show that, with
further increase of the doping, the field in the active wells,
Fa-w , stops decreasing at all, but instead saturates at certain
minimum value. This causes saturation of the Stark shift for
the highest doping, observed both in Fig. 4b (experiment)
and Fig. 7 (simulations), and simultaneously defines the
lower limit of the frequencies that can be reached by changing doping density. The upper limit of frequency tuning is
more trivial: for the doping, as low as 1 × 1017 cm−3, there
1
2 1017 cm-3
17
12 10
0.5
0
0
10
20
30
cm
-3
40
50
position z (nm)
Fig. 6 a Conduction band edge and b distribution of electrons
within one QCL module calculated self-consistently by the solution
of NEGF and Poisson equations with the boundary conditions that
preserve charge neutrality of the single QCL module. Devices were
doped to 12 × 1017 cm−3 (thick, blue line) or 2 × 1017 cm−3 (thin, red
line). Slope of the straight lines shows the average field in the whole
structure (dotted line) or the local field in active wells (dashed line)
for the device doped to higher density
energy (meV)
EC (eV)
0.1
144
145
140
2 1017
12 1017
135
130
125
180
200
220
240
bias voltage/module (mV)
Fig. 7 Difference between upper and lower laser level energies
E3 − E2 as a function of bias voltage, calculated for self-consistent
potential (line + symbols) or assuming constant field in the whole
structure (line). The self-consistent potential was calculated for the
doping density which preserves the experimental condition, i.e., constant current density of J = 1.5Jth
13
144
G. Hałdaś et al.
Page 6 of 7
Fig. 8 Emission spectra
measured for InGaAs/AlInAs/
InP QCLs doped to different
densities
are not enough carriers to reach the experimental current
(see Fig. 5), or even the threshold current required for lasing.
5 Conclusions
In this paper, we have characterized in detail QCL wavelength tuning by the injector doping. A rigorous model of
the observed effect, based on nonequilibrium Green’s function formalism, has been presented. The physical mechanism
responsible for this phenomenon is the linear Stark effect.
The range of tuning is limited on both low and high doping
sides. On the low doping side, the limitation is caused by
the insufficient free carrier density to reach the threshold
current/gain. On the high doping side, the tuning is limited by: (i) the saturation of the Stark shift caused by band
bending and (ii) the decreased efficiency of carrier injection due to their redistribution caused by strong attraction of
the dopants. The phenomenon can be utilized for the rough
tuning of devices wavelength, dedicated to operate in the
specific frequency bands.
Although the analysis was performed exclusively for
GaAs-based devices, it is highly probable that it can be
fully applicable to more efficient InGaAs/AlInAs/InP
QCLs. This is confirmed by the laser spectra provided in
Fig. 8 which exhibit identical doping-emission wavelength
correlation. On the other hand, the data presented in [9]
for short-wavelength InP-based QCLs seem to contradict
this conjecture: the decrease of wavelength was observed
with the increasing doping. Although it was postulated
that this can be due to some complex thermal effect, the
interpretation in terms of the current model is still possible
(and much more straightforward): the measurements in [9]
were done for the currents “slightly higher than the threshold current” which in their devices changed by 55% (from
1.95 to 3.02 kAcm−2 ) when doping increased merely by
28% (from 1.68 × 1017 to 2.07 × 1017 cm−3). According to
Eq. (3), this difference must have been compensated by the
13
simultaneous decrease of detuning from resonance Δ, that
is an increase of the bias voltage (see Fig. 5). Then, the
associated Stark effect leads to the observed blueshift of
the lasing frequency. Unfortunately, in [9], the I–V characteristics were not provided, so drawing definite conclusions on the physical mechanism, responsible for tuning
the laser wavelength by the injector doping in InP-based
devices, must be left for future studies.
Acknowledgements This work was supported by the National Centre for Research and Development (NCBR) grant no. TECHMATSTRATEG1/347510/15/NCBR/2018 (SENSE). The authors would like
to thank Dr Piotr Karbownik for fabrication of the investigated QCLs.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativeco
mmons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate
credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made.
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