The incorporation of heavy atoms into semiconductor heterostructures is a promising way to enhance the spin–orbit interaction of carriers moving in two-dimensional channels. We investigated the strength of spin–orbit interaction in a sample containing an epitaxially grown GaAsBi channel. Time- and spatially resolved Kerr rotation measurements revealed the existence of Rashba-type spin–orbit effective magnetic fields experienced by the photo-injected spins diffusing in the GaAsBi layer. The spin–orbit interaction parameters deduced from both experiments and theory suggest that, as a result of an increase in the spin–orbit split-off energy due to Bi, the offset energies of the valence band and spin split-off band at the GaAsBi/GaAs interface work constructively to enhance the Rashba spin–orbit interaction parameter, which is one order of magnitude larger than those arising from conventional GaAs/AlGaAs and InGaAs/GaAs interfaces.

Spin–orbit interaction (SOI) is of great interest in spintronics research because its role as an intermediary between spin and electric fields underlies various phenomena that are potentially useful for exploring new physics1 and developing new applications.2 Semiconductor heterostructures that host two-dimensional (2D) electrons have been used as basic platforms for spin manipulation using SOIs. This is because such platforms enable application of a vertical electric field to induce SOIs while keeping the electrons confined in the 2D channels. The electrons moving in the channels are affected by the effective magnetic field generated by the SOIs, enabling modulation of their spin dynamics by applying an external gate voltage3–5 or by controlling the electron motion6,7 even in the absence of external magnetic fields. Since these spins evolve on a timescale of the rate characterized by a precession frequency proportional to the SOI strength, finding a way to obtain stronger SOIs has become a key issue for applications that need to manipulate spins more quickly in smaller areas.

The strength of the SOI depends on the material, and, in particular, the mass of the constituent atoms is one of the factors linked to SOI strength. When we focus on the nanoscale structures of semiconductors, the local electric fields produced by the nucleus vary spatially on the scale of the lattice constants. These local electric fields are a direct cause of the SOIs due to the bulk crystal inversion asymmetry and/or the interface inversion asymmetry at heterointerfaces.8 Atoms with a higher atomic number have more positive charges in their nuclei and, thus, can generate larger electric fields and stronger SOIs. Therefore, the idea of introducing heavy elements into conventional semiconductor materials, which generally consist of light elements, is attractive because of their ability to yield stronger SOIs for the carriers.

Bismuth (Bi), a heavy element with an atomic number of 83, is promising for enhancing SOIs in semiconductors as it can form alloy semiconductors with group III–V semiconductors.9 A typical semiconductor bismide, GaAs1–xBix, has been investigated10 for use in optical devices, in which the incorporation of a small fraction of Bi reduces the bandgap energy dramatically,11 while it ensures the stability of the bandgap energy against temperature changes.9 Similar Bi-induced band modification appears in the spin split-off energy ΔSO12 as well; the giant p-state SOI in Bi atoms should induce a large ΔSO for GaBi,13 and the hybridization of the GaAs valence band and Bi-related localized state results in a substantial bowing effect for ΔSO in GaAsBi as well.11 Thus, incorporating Bi into GaAs-based heterostructures should lead to efficient spin-control technologies that take advantage of both Bi-induced strong SOIs and the tunability of spin–orbit effective magnetic fields for the 2D electrons in semiconductor channels.

Here, we investigated the effect of Bi incorporation into GaAs heterostructures on the enhancement of SOI. Optical measurements revealed momentum dependence of the spin–orbit effective magnetic fields experienced by electrons diffusing in an epitaxially grown GaAsBi thin film. We found that the SOIs in this system were dominated by the Rashba-type momentum dependence; that is, the effective magnetic field was always perpendicular to the momentum vector. Theoretical analysis of the SOI parameters suggests that the spatial inversion asymmetry at the interface between the GaAsBi and GaAs cap layers is the main factor in the enhancement of the Rashba SOI. Our findings provide deeper insight into the effect of the SOIs resulting from incorporating heavy atoms into semiconductor heterostructures.

We performed time- and spatially resolved magneto-optic Kerr rotation measurements on a GaAs0.961Bi0.039/GaAs quantum well (QW). The sample was grown on a p-GaAs (001) substrate by low-temperature molecular beam epitaxy. It consisted of a 140-nm-thick GaAs buffer, a nominally undoped 71-nm-thick GaAs0.961Bi0.039 QW, and a 6-nm-thick GaAs cap. We expected that the Bi cluster formation in the GaAsBi layer was sufficiently suppressed,14,15 and Kerr rotation results shown later mainly reflect the band structure of the GaAsBi material in which Bi atoms are uniformly incorporated. The spatial distribution and time dependence of the electron spins in an external magnetic field (Bext) parallel to the sample plane were measured by scanning Kerr rotation microscopy at 13 K with a mode-locked Ti:sapphire laser, which generated 100-fs pulses. We used a wavelength of 955 nm for both the pump and probe beams because the Kerr rotation signal reached its maximum at this wavelength. The full-widths at half maximum of the focused pump and probe lasers were 14 and 3 μm, respectively. Spin-polarized electrons were generated with circularly polarized pump pulses, and the subsequent spin density dynamics was measured using a linearly polarized probe pulses via the Kerr rotation angle θK.

The effect of the SOIs in the conduction band appears in the spin precession dynamics of photo-injected electrons that travel to distant positions due to diffusion. Figure 1(a) plots time-resolved Kerr rotation signals observed under an external magnetic field of 0.3 T. The pump laser position was fixed at the origin, the probe was set at three different positions on the x 1 1 ¯ 0) axis, and Bext was applied in the y (ǁ[110]) direction. All the data show similar oscillatory and decaying time-dependent Kerr rotation signals, which represent the typical precession dynamics of photo-injected electron spins in semiconductors. The Kerr rotation signal for x = 0 μm decayed with a time constant of 0.36 ns and oscillated at 4.44 GHz. This spin precession frequency corresponds to an electron g-factor of 1.06, which is close to the 1.2 estimated for GaAs1−xBix (x = 3.83%) by time-resolved PL measurement at T = 200 K,16 indicating that the spin of excess electrons generated by optical doping17 determined the Kerr rotation dynamics. When the probe laser spot was set at x = 5 μm (−5 μm), the Kerr rotation oscillation was slower (faster) than that at the origin, indicating that the time-averaged effective magnetic field that had been acting on electrons arriving at the probe position by diffusion was in the same direction as (opposite direction to) Bext [Fig. 1(c)].18 On the other hand, regardless of the position of the probe laser spot in the y direction, the period of the Kerr rotation oscillation was constant, as shown in Fig. 1(b). The probe position dependence of the precession frequency, thus, contains information about the direction and magnitude of the effective magnetic field vectors.

FIG. 1.

(a) and (b) Time-resolved Kerr rotation signal for three probe positions in the x and y directions under the external magnetic field of 0.3 T applied in the y(ǁ[110]) direction. Data were normalized and are offset for clarity. (c) Schematic image of experimental setup and magnetic field vectors.

FIG. 1.

(a) and (b) Time-resolved Kerr rotation signal for three probe positions in the x and y directions under the external magnetic field of 0.3 T applied in the y(ǁ[110]) direction. Data were normalized and are offset for clarity. (c) Schematic image of experimental setup and magnetic field vectors.

Close modal
To investigate the origin of the SOIs in more detail, we performed time- and spatially resolved magneto-optic Kerr rotation measurements with scanning the probe position in four in-plane directions. Figures 2(a)–2(d) show spatiotemporal maps of the Kerr rotation signal for Bext = (0, 0.3 T) measured along the xǁ 1 1 ¯ 0, x′ǁ[100], yǁ[110], and y′ǁ[010] directions. The spin precession frequency clearly varied when scanned in the x direction [Fig. 2(a)], whereas it was constant for the y direction [Fig. 2(c)]. These findings indicate that the y component of the effective magnetic field had a non-zero value for the electrons moving in the x direction, whereas it was close to zero for those moving in the y direction. To characterize the spin behaviors evident in Figs. 2(a)–2(d), we fitted the spatiotemporal Kerr rotation signal with a simple model function,19 
(1)
where the fitting parameters are the initial Gaussian width ( σ 0) of the photo-excited electron spin distribution, the spin diffusion constant ( D s), the spin relaxation time ( τ s), and the spin precession frequency ( ω 0) due to the external magnetic field. The frequency deviation d ω so d r r is a position-dependent component induced by the spin–orbit effective magnetic field. This component was assumed to be linear in the probe position r; that is, d ω so d r was treated as a constant fitting parameter. The best fits of the model to the data [Figs. 2(e)–2(h)] reproduced the overall features of the Kerr rotation results [Figs. 2(a)–2(d)] well, indicating that the model is suitable for describing our experiments.
FIG. 2.

(a)–(d) Spatiotemporal maps of Kerr rotation signal measured for Bext = (0, 0.3 T) and xǁ 1 1 ¯ 0, x′ǁ[100], yǁ[110], and y′ǁ[010] scanning directions. Positive (red) and negative (blue) areas correspond to up and down spins, respectively. (e)–(h) Best fits of the model [Eq. (1)] to the data shown in (a)–(d). (i) Spin precession frequency gradients, d ω so d x for Bext = (0, 0.3 T) and d ω so d y for Bext = (−0.3 T, 0), plotted as a function of the angle of scanning direction. (j) Two-dimensional configuration of effective magnetic fields reproduced by using the spin precession frequency gradients shown in Fig. 2(i).

FIG. 2.

(a)–(d) Spatiotemporal maps of Kerr rotation signal measured for Bext = (0, 0.3 T) and xǁ 1 1 ¯ 0, x′ǁ[100], yǁ[110], and y′ǁ[010] scanning directions. Positive (red) and negative (blue) areas correspond to up and down spins, respectively. (e)–(h) Best fits of the model [Eq. (1)] to the data shown in (a)–(d). (i) Spin precession frequency gradients, d ω so d x for Bext = (0, 0.3 T) and d ω so d y for Bext = (−0.3 T, 0), plotted as a function of the angle of scanning direction. (j) Two-dimensional configuration of effective magnetic fields reproduced by using the spin precession frequency gradients shown in Fig. 2(i).

Close modal

We further performed the same measurement with the application of Bext in the x direction and plotted the extracted d ω so / d r values as functions of the scanning direction angle from the x axis [Fig. 2(i)]. As discussed elsewhere,18 the value of d ω so d r measured in Bext applied along the x(y) direction is proportional to the x(y)-component of the effective magnetic fields acting on the electrons moving in the direction of r. Thus, the parameters plotted in Fig. 2(i) enabled us to obtain the two-dimensional configuration of the effective magnetic field vectors in momentum space. The reproduced effective magnetic field vectors [shown in Fig. 2(j)] are clearly consistent with the symmetry of the Rashba SOI field, B R k y , k x, rather than the Dresselhaus SOI field, B D k y , k x, where k = ( k x , k y ) is the in-plane wavenumber of electrons.

The Rashba and Dresselhaus SOI parameters, α and β, can be estimated from the precession frequency gradient ( d ω so d r ) measured for the two scanning directions. As representative parameters for determining α and β, we chose two values: d ω so d x measured in Bext = (0, 0.3 T) and d ω so d y measured in Bext = ( 0.3 T, 0). The Rashba and Dresselhaus SOI parameters can be written as18,19
(2)
(3)
where m * is the effective mass of electrons and is the reduced Planck constant. We used m * = 0.077 m 0, where m 0 is the free electron mass, assuming that it is equal to the value for an undoped 7-nm-thick QW of GaAs0.96Bi0.04.20 All the other parameters needed to estimate the α and β values were extracted using the fitting procedure described earlier. The data shown in Fig. 2(i) yielded α = 2.5 and β = 0.063 meVÅ; the latter is less than the uncertainty (±0.55 meVÅ) expected from this fitting procedure. These results indicate that the conduction band electrons in our GaAs0.961Bi0.039/GaAs heterostructure were strongly affected by the Rashba SOI, which were induced by the internal built-in vertical electric field due to the space charges distributed in the p-type substrate and the sample surface. One of the reasons the Dresselhaus SOI was much smaller than those reported for narrower GaAs/AlGaAs QWs (β = 0.95–2.1 meVÅ)5 is that the large QW thickness of the GaAsBi layer (70 nm) resulted in a large extension of the wave function in the z direction (dz = ∼70 nm), so it had a small effect on β = γ k z 2 γ π d z 2 ( 0.22 meV Å if we assume γ has the same value as for GaAs; i.e., γ = 11 eVÅ3).21 A more detailed investigation of the effect of Bi on the Dresselhaus SOI requires the evaluation of β using samples with narrower dz.

The pump power dependences of the aforementioned parameters agree with the inference that the Rashba SOI was dominant in our sample. The spatiotemporal mapping of the Kerr rotation signal for several pump intensities and the extracted parameters is shown in Fig. 3. Figures 3(a) and 3(b) show that Ds increases and τs decreases with increasing Ppump, whereas Fig. 3(c) shows that d ω so d r does not change much for both scanning directions. By substituting the obtained fitting parameters into Eq. (2), we found that Rashba SOI parameter α decreases monotonically as Ppump increases [Fig. 3(d)]. We attribute this to that the screening of the built-in potential17 by the excess photoexcited carriers suppresses the potential gradient in the GaAsBi QW and consequently reduces the Rashba effect. In contrast, Dresselhaus SOI parameter β remained small regardless of the pump intensity.

FIG. 3.

Pump power dependences of (a) diffusion constant Ds and (b) spin relaxation time τs. (c) Spin precession frequency gradient for the x and y scanning directions measured for Bext = (0, 0.3 T) and for Bext = (−0.3 T, 0). (d) Extracted Rashba (α) and Dresselhaus (β) parameters plotted as a function of pump intensity.

FIG. 3.

Pump power dependences of (a) diffusion constant Ds and (b) spin relaxation time τs. (c) Spin precession frequency gradient for the x and y scanning directions measured for Bext = (0, 0.3 T) and for Bext = (−0.3 T, 0). (d) Extracted Rashba (α) and Dresselhaus (β) parameters plotted as a function of pump intensity.

Close modal

To examine the validity of these results, we calculated the SOI parameters theoretically. We first calculated the energy band diagram of the present heterostructure. We used the band-anti-crossing model,22 which gives the Γ point energies of GaAs and GaAs0.961Bi0.039 (conduction band Γ6c, valence band Γ8v, and spin split-off band Γ7v) and their band offsets at the heterointerfaces. As discussed earlier, we infer that the built-in potential gradient responsible for the Rashba SOI is reduced when the carriers are excited with a higher pump power. Such tunability of the vertical electric field was incorporated into the calculation by setting a variable surface state energy (0 V < Δϕ < 1.5 V) relative to the Fermi energy of the p-type GaAs substrate; that is, increasing Ppump corresponds to decreasing Δϕ. By solving the Poisson-Shrödinger equation, we obtained the energy band diagrams for Γ6c, Γ8v, and Γ7v and the probability density (|Ψ(z)|2) of the conduction band electrons confined in the GaAsBi layer, as shown in Fig. 4(a).

FIG. 4.

(a) Energy band profile of the 70-nm-thick GaAs/GaAs0.961Bi0.039/GaAs heterostructure and wave function for the electrons confined in the GaAs0.961Bi0.039 layer. Solid and dotted lines indicate the band profiles and wave functions for Δϕ = 0 and 0.15 eV, respectively. Red arrow indicates the GaAs0.961Bi0.039/GaAs cap layer interface, which mainly contributes to the enhancement of Rashba SOI. (b) Rashba (closed circles) and Dresselhaus (closed squares) SOI parameters as a function of relative potential Δϕ. Vertical dotted line indicates Δϕ = 0.104, where calculated α agrees with the value estimated from the experiment results.

FIG. 4.

(a) Energy band profile of the 70-nm-thick GaAs/GaAs0.961Bi0.039/GaAs heterostructure and wave function for the electrons confined in the GaAs0.961Bi0.039 layer. Solid and dotted lines indicate the band profiles and wave functions for Δϕ = 0 and 0.15 eV, respectively. Red arrow indicates the GaAs0.961Bi0.039/GaAs cap layer interface, which mainly contributes to the enhancement of Rashba SOI. (b) Rashba (closed circles) and Dresselhaus (closed squares) SOI parameters as a function of relative potential Δϕ. Vertical dotted line indicates Δϕ = 0.104, where calculated α agrees with the value estimated from the experiment results.

Close modal
The obtained energy band diagram and wave function enabled us to derive the values of the SOI parameters. With Schaper's method,23 which is based on the k · p perturbation, the Rashba SOI parameter is expressed as
(4)
where Ep is the interband matrix element and zn is the position at the nth interface. The first term corresponds to the contribution from the electric field inside the continuous material (field contribution), and the second originates from the band offset at the heterointerface (interface contribution). These two contributions are characterized by
(5)
(6)
where EF is the Fermi energy and d φ ( z ) d z is the macroscopic electric potential. E Γ i A and E Γ i B represent the band edge energy for GaAs and GaAsBi at the heterointerface, respectively, and, thus, Δ E Γ 8 v = E Γ 8 v A E Γ 8 v B and Δ E Γ 7 v = E Γ 7 v A E Γ 7 v B represent the valence and the split-off band offsets. Note that the signs of the first and second terms differ. This means that the signs and the magnitudes of Δ E Γ 8 v and Δ E Γ 7 v are important in determining Γ I n. We also calculated the Dresselhaus SOI parameter from β = γ Ψ ( z ) d 2 d z 2 Ψ ( z ) . We used the values reported for GaAs, γ = 11 eV Å (Ref. 21) and E p = 25 eV, assuming that the incorporation of a small Bi concentration (3.9%) has little effect on these parameters.

Our theoretical analysis of the origin of the SOI parameters suggests that as a result of an increase in the spin–orbit split-off energy due to Bi, the offset energies of the valence band and spin split-off band at the GaAsBi/GaAs interface work constructively to enhance the Rashba SOI. The SOI parameters, α and β, calculated for different Δϕ conditions are shown in Fig. 4(b). The calculated α is much larger than β under reasonable Δϕ conditions, which is consistent with the experimental results. Although field contribution (ΓF) in Eq. (5) is enhanced by the large spin split-off energy in the GaAsBi layer, it was only 15% contribution to α. In contrast, we found that 85% of the entire contribution to α was induced by the interface contribution (ΓIn) at the boundary [indicated by the red arrow in Fig. 4(a)] between the GaAsBi layer and the GaAs cap layer.

For comparison, we also calculated the interface contribution at GaAs/Al0.3Ga0.7 As and In0.039Ga0.961 As/GaAs interfaces with the same layer structure and built-in potential gradient. We found that the GaAs0.961Bi0.039/GaAs interface generates 9.1 and 6.7 times larger contributions, respectively, to the α value than the GaAs/Al0.3Ga0.7 As and In0.039Ga0.961 As/GaAs interfaces. Such a large contribution is due to the sum of the effects of the valence band offset (ΔEΓ8v = −210 meV) and the split-off band offset (ΔEΓ7v = 17 meV) [see Eq. (6)], which is considerably larger than those of the other two heterointerfaces. Note that while the In0.039Ga0.961 As/GaAs interface has small offset values for both bands (ΔEΓ8v = −19 and ΔEΓ7v = −11 meV), the GaAs/Al0.3Ga0.7 As interface has a substantial valence band offset (ΔEΓ8v = −150 meV), which is counteracted by the split-off band offset (ΔEΓ7v = −134 meV). Similar calculation for the Rashba SOI in heterostructures containing GaAsBi was reported in Ref. 24 in which the field contribution in the QW is mainly discussed. We infer that this is because of the difference in barrier material and QW thickness; the AlGaAs barrier layers assumed in Ref. 24 confine the electron wave function more tightly in the thin GaAsBi QW, resulting in a smaller interface contribution. In contrast, the GaAs barriers with a thicker QW in our sample enable the electrons to more easily penetrate from the GaAsBi layer into one of the barrier layers, leading to the larger interface contribution. The resultant probability density at the interface effectively increases the interface contribution to the Rashba effective magnetic fields, which determines the spin dynamics of electrons confined in the vicinity of the interfaces. These results indicate that GaAsBi/GaAs interfaces are promising as efficient sources for introducing electrically tunable Rashba SOI.

In conclusion, we have demonstrated that the incorporation of bismuth into GaAs heterostructures enhances the Rashba SOI of electrons. Our time- and spatially resolved Kerr rotation measurements on a sample containing an epitaxially grown 70-nm-thick GaAs0.961Bi0.039 layer revealed that the momentum dependence of the effective magnetic field has the symmetry of the Rashba SOI rather than that of the Dresselhaus SOI. We found that the Rashba parameter α decreases with increasing pump laser intensity due to the light-induced screening of the built-in potential gradient. Our theoretical calculation of the SOI parameters suggests that the band offset at the GaAsBi/GaAs interface substantially enhances the Rashba SOI parameter. Although the GaAsBi used in this study contained only a small amount of Bi (3.9%), the α value was estimated to be one order of magnitude larger than those in conventional GaAs/Al0.3Ga0.7 As and In0.039Ga0.961 As/GaAs heterostructures with similar layer structures. Crystal growth technology currently enables the introduction of Bi concentrations of up to 10.4%,25 which promises further enhancement of the Rashba SOI, to values surpassing those previously reported for electrons in general semiconductor heterostructures. Thus, the introduction of bismuth into semiconductor engineering creates a new avenue for spintronics applications with highly efficient control of spins via electrically tunable SOIs.

This work was supported by JSPS KAKENHI (Nos. 20H02563 and 20H05670).

The authors have no conflicts to disclose.

Yoji Kunihashi: Conceptualization (lead); Data curation (lead); Formal analysis (lead); Investigation (lead); Methodology (lead); Writing – original draft (lead); Writing – review & editing (equal). Haruki Sanada: Conceptualization (equal); Methodology (equal); Project administration (equal); Supervision (lead); Validation (lead); Writing – review & editing (lead). Yasushi Shinohara: Formal analysis (lead); Validation (lead). Sho Hasegawa: Investigation (equal); Methodology (equal); Validation (equal). Hiroyuki Nishinaka: Investigation (equal); Methodology (equal); Validation (equal). Masahiro Yoshimoto: Funding acquisition (equal); Methodology (equal); Project administration (equal); Supervision (equal); Validation (equal). Katsuya Oguri: Methodology (equal); Project administration (equal); Resources (equal); Validation (equal); Writing – review & editing (equal). Hideki Gotoh: Methodology (equal); Project administration (equal); Resources (equal); Validation (equal); Writing – review & editing (equal). Makoto Kohda: Conceptualization (equal); Formal analysis (equal); Methodology (equal); Project administration (equal); Validation (equal); Writing – review & editing (equal). Junsaku Nitta: Conceptualization (equal); Formal analysis (equal); Methodology (equal); Validation (equal); Writing – review & editing (equal).

The data that support the findings of this study are available within the article.

1.
A.
Soumyanarayanan
,
N.
Reyren
,
A.
Fert
, and
C.
Panagopoulos
,
Nature
539
,
509
(
2016
).
2.
K. L.
Wang
,
X.
Kou
,
P.
Upadhyaya
,
Y.
Fan
,
Q.
Shao
,
G.
Yu
, and
P. K.
Amiri
,
Proc. IEEE
104
,
1974
(
2016
).
3.
J.
Nitta
,
T.
Akazaki
,
H.
Takayanagi
, and
T.
Enoki
,
Phys. Rev. Lett.
78
,
1335
(
1997
).
4.
T.
Bergsten
,
T.
Kobayashi
,
Y.
Sekine
, and
J.
Nitta
,
Phys. Rev. Lett.
97
,
196803
(
2006
).
5.
Y.
Kunihashi
,
H.
Sanada
,
H.
Gotoh
,
K.
Onomitsu
,
M.
Kohda
,
J.
Nitta
, and
T.
Sogawa
,
Nat. Commun.
7
,
10722
(
2016
).
6.
S. M.
Frolov
,
S.
Lüscher
,
W.
Yu
,
Y.
Ren
,
J. A.
Folk
, and
W.
Wegscheider
,
Nature
458
,
868
(
2009
).
7.
H.
Sanada
,
Y.
Kunihashi
,
H.
Gotoh
,
K.
Onomitsu
,
M.
Kohda
,
J.
Nitta
,
P. V.
Santos
, and
T.
Sogawa
,
Nat. Phys.
9
,
280
(
2013
).
8.
M.
Kohda
and
J.
Nitta
,
Phys. Rev. B
81
,
115118
(
2010
).
9.
K.
Oe
and
H.
Okamoto
,
Jpn. J. Appl. Phys., Part 2
37
,
L1283
(
1998
).
10.
L.
Wang
,
L.
Zhang
,
L.
Yue
,
D.
Liang
,
X.
Chen
,
Y.
Li
,
P.
Lu
,
J.
Shao
, and
S.
Wang
,
Crystals
7
,
63
(
2017
).
11.
K.
Alberi
,
J.
Wu
,
W.
Walukiewicz
,
K. M.
Yu
,
O. D.
Dubon
,
S. P.
Watkins
,
C. X.
Wang
,
X.
Liu
,
Y.-J.
Cho
, and
J.
Furdyna
,
Phys. Rev. B
75
,
045203
(
2007
).
12.
B.
Fluegel
,
S.
Francoeur
, and
A.
Mascarenhas
,
Phys. Rev. Lett.
97
,
067205
(
2006
).
13.
Y.
Zhang
,
A.
Mascarenhas
, and
L.-W.
Wang
,
Phys. Rev. B
71
,
155201
(
2005
).
14.
K.
Kakuyama
,
S.
Hasegawa
,
H.
Nishinaka
, and
M.
Yoshimoto
,
J. Appl. Phys.
126
,
045702
(
2019
).
15.
M.
Yoshimoto
,
M.
Itoh
,
Y.
Tominaga
, and
K.
Oe
,
J. Cryst. Growth
378
,
73
76
(
2013
).
16.
C. A.
Broderick
,
S.
Mazzucato
,
H.
Carrere
,
T.
Amand
,
H.
Makhloufi
,
A.
Arnoult
,
C.
Fontaine
,
O.
Donmez
,
A.
Erol
,
M.
Usman
,
E. P.
O'Reilly
, and
X.
Marie
,
Phys. Rev. B
90
,
195301
(
2014
).
17.
L. M.
Weegels
,
J. E. M.
Haverkort
,
M. R.
Leys
, and
J. H.
Wolter
,
Phys. Rev. B
46
,
3886
(
1992
).
18.
M.
Kohda
,
P.
Altmann
,
D.
Schuh
,
S. D.
Ganichev
,
W.
Wegscheider
, and
G.
Salis1
,
Appl. Phys. Lett.
107
,
172402
(
2015
).
19.
T.
Saito
,
A.
Aoki
,
J.
Nitta
, and
M.
Kohda
,
Appl. Phys. Lett.
115
,
052402
(
2019
).
20.
O.
Donmez
,
M.
Aydin
,
S.
Ardali
,
S.
Yildirim
,
E.
Tiras
,
F.
Nutku
,
C.
Cetinkaya
,
E.
Cokduygulular
,
J.
Puustinen
,
J.
Hilska
,
M.
Guina
, and
A.
Erol
,
Semicond. Sci. Technol.
35
,
025009
(
2020
).
21.
M. P.
Walser
,
U.
Siegenthaler
,
V.
Lechner
,
D.
Schuh
,
S. D.
Ganichev
,
W.
Wegscheider
, and
G.
Salis
,
Phys. Rev. B
86
,
195309
(
2012
).
22.
C. A.
Broderick
,
M.
Usman
, and
E. P.
O'Reilly
,
Semicond. Sci. Technol.
28
,
125025
(
2013
).
23.
T.
Schäpers
,
G.
Engels
,
J.
Lange
,
T.
Klocke
,
M.
Hollfelder
, and
H.
Luth
,
J. Appl. Phys.
83
,
4324
(
1998
).
24.
R. A.
Simmons
,
S. R.
Jin
,
S. J.
Sweeney
, and
S. K.
Clowes
,
Appl. Phys. Lett.
107
,
142401
(
2015
).
25.
Z.
Batool
,
K.
Hild
,
T. J. C.
Hosea
,
X.
Lu
,
T.
Tiedje
, and
S. J.
Sweeney
,
J. Appl. Phys.
111
,
113108
(
2012
).