Yiftach Frenkel1, Noam Haham1, Yishai Shperber1, Christopher Bell2, Yanwu Xie3,4, Zhuoyu Chen5, Yasuyuki Hikita3, Harold Y Hwang3,5, Beena Kalisky1. 1. Department of Physics and Institute of Nanotechnology and Advanced Materials, Bar-Ilan University , Ramat-Gan 5290002, Israel. 2. H. H. Wills Physics Laboratory, University of Bristol , Tyndall Avenue, Bristol BS8 1TL, United Kingdom. 3. Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory , Menlo Park, California 94025, United States. 4. Department of Physics, Zhejiang University , Hangzhou 310027, China. 5. Department of Applied Physics, Geballe Laboratory for Advanced Materials, Stanford University 476 Lomita Mall, Stanford University, Stanford, California 94305, United States.
Abstract
Oxide interfaces, including the LaAlO3/SrTiO3 interface, have been a subject of intense interest for over a decade due to their rich physics and potential as low-dimensional nanoelectronic systems. The field has reached the stage where efforts are invested in developing devices. It is critical now to understand the functionalities and limitations of such devices. Recent scanning probe measurements of the LaAlO3/SrTiO3 interface have revealed locally enhanced current flow and accumulation of charge along channels related to SrTiO3 structural domains. These observations raised a key question regarding the role these modulations play in the macroscopic properties of devices. Here we show that the microscopic picture, mapped by scanning superconducting quantum interference device, accounts for a substantial part of the macroscopically measured transport anisotropy. We compared local flux data with transport values, measured simultaneously, over various SrTiO3 domain configurations. We show a clear relation between maps of local current density over specific domain configurations and the measured anisotropy for the same device. The domains divert the direction of current flow, resulting in a direction-dependent resistance. We also show that the modulation can be significant and that in some cases up to 95% of the current is modulated over the channels. The orientation and distribution of the SrTiO3 structural domains change between different cooldowns of the same device or when electric fields are applied, affecting the device behavior. Our results, highlight the importance of substrate physics, and in particular, the role of structural domains, in controlling electronic properties of LaAlO3/SrTiO3 devices. Furthermore, these results point to new research directions, exploiting the STO domains' ability to divert or even carry current.
Oxide interfaces, including the LaAlO3/SrTiO3 interface, have been a subject of intense interest for over a decade due to their rich physics and potential as low-dimensional nanoelectronic systems. The field has reached the stage where efforts are invested in developing devices. It is critical now to understand the functionalities and limitations of such devices. Recent scanning probe measurements of the LaAlO3/SrTiO3 interface have revealed locally enhanced current flow and accumulation of charge along channels related to SrTiO3 structural domains. These observations raised a key question regarding the role these modulations play in the macroscopic properties of devices. Here we show that the microscopic picture, mapped by scanning superconducting quantum interference device, accounts for a substantial part of the macroscopically measured transport anisotropy. We compared local flux data with transport values, measured simultaneously, over various SrTiO3 domain configurations. We show a clear relation between maps of local current density over specific domain configurations and the measured anisotropy for the same device. The domains divert the direction of current flow, resulting in a direction-dependent resistance. We also show that the modulation can be significant and that in some cases up to 95% of the current is modulated over the channels. The orientation and distribution of the SrTiO3 structural domains change between different cooldowns of the same device or when electric fields are applied, affecting the device behavior. Our results, highlight the importance of substrate physics, and in particular, the role of structural domains, in controlling electronic properties of LaAlO3/SrTiO3 devices. Furthermore, these results point to new research directions, exploiting the STO domains' ability to divert or even carry current.
The observed emergence
of new low-dimensional states of matter at transition metal oxide
heterointerfaces has motivated intense interest. Considerable efforts
have been invested in order to understand both the basic physical
phenomena in these systems, and their potential for future devices.[1−4] The {100} interface between LaAlO3 and TiO2 terminated SrTiO3 (LAO/STO) exhibits many fascinating
properties such as quasi-two-dimensional electron transport with high
electron mobility,[5] two-dimensional superconductivity
at low temperatures,[3,6,7] magnetism[8,9] and superconductivity that coexist,[10−13] and electric field-tuned metal–insulator
and superconductor–insulator phase transitions.[3,7,14] Various theoretical and experimental
considerations suggest that the electron gas is formed by the occupation
of several sub-bands.[15−17] Anisotropic transport in strong magnetic fields has
been suggested to arise naturally as a consequence of the orbital
character of the quantum sub-bands.[18−20] Anisotropic transport
that is not related to externally applied magnetic field, which is
the topic of this study, has only minor reference in the literature[21] and was theoretically explained by the terrace
structure of the substrate.Concomitant with these electrical
transport measurements, scanning probe studies have been used to locally
visualize the emergent magnetism in the system[10,11,22] and, most notably, demonstrate local variations
in electronic properties associated with the formation of tetragonal
domains in the STO at low temperatures.[23,24] A central
question to resolve is the inter-relation between these measurements.
An influence of local variations on the overall sample transport can
have implications on the potential of the LAO/STO interface for future
electronics. In this work, we show that transport in patterned LAO/STO-based
devices is highly anisotropic, and controlled by the STO domain configuration.
We quantify the relation between the local variations of electronic
properties and the transport behavior, and discuss obstacles in realization
of devices.STO is a cubic perovskite at room temperature and
undergoes a ferroelastic phase transition at ∼105 K.[25,26] In the absence of a symmetry-breaking field at the transition, the
tetragonal STO unit cells can form in any of the three possible crystallographic
axes, and hence, the STO breaks into domains. Measurements taken with
a scanning SQUID (Superconducting QUantum Interference Device) showed
that current flow at the LAO/STO interface can be enhanced along the
⟨100⟩ and ⟨110⟩ STO cubic crystallographic
directions depending on the details of the domain structure.[23] Scanning single-electron transistor data demonstrated
modulated electrostatic potential on domain walls, predicting an enhancement
of flow along domain walls.[24] Here, we
use scanning SQUID to map the microscopic spatial distribution of
current flow and compare it to macroscopic resistance measurements
performed simultaneously.In this study, we measured LAO/STO
samples with 5 unit cells of LAO patterned as hall bars and square
devices (Methods). An AC bias current in the
range of 10–35 μA and frequency of 223 Hz was driven
in the interfacial electron gas during measurement, and its resultant
Oersted magnetic field was measured by the SQUID (Figure a and Methods). We used a lock-in amplifier locked to the external current frequency
for noise reduction. We verified that the SQUID response to the applied
current was in the linear regime, and independent of frequency in
the range of dc to ∼1.9 kHz. Simultaneously, we measured the
resistance using a four-probe technique. Figure b,c shows typical magnetic flux measurements
taken at different regions of a Hall bar device. We observe magnetic
maps which are consistent with a homogeneous current flow (Figure b), localized regions
of reduced conductivity (Figure b), and a stripe-like structure of enhanced conductivity
channels (Figure c). Figure d shows the magnetic
flux as a function of position at specific spatial cuts and the schematic
current pattern attributed to them.
Figure 1
Mapping current flow with scanning SQUID
microscopy. (a) The SQUID’s pick-up loop is rastered over the
sample and captures the z component of the magnetic
flux lines generated by the current flow. (b and c) Examples of SQUID
images of the magnetic flux generated by in-plane current flow. Blue
arrow showing direction of current flow. (d) The cross sections show
the flux responses (red) for the different current distributions (sketched
in blue): homogeneous current flow (1), a localized region of reduced
conductivity (2), and channels of enhanced current density (3).
Mapping current flow with scanning SQUID
microscopy. (a) The SQUID’s pick-up loop is rastered over the
sample and captures the z component of the magnetic
flux lines generated by the current flow. (b and c) Examples of SQUID
images of the magnetic flux generated by in-plane current flow. Blue
arrow showing direction of current flow. (d) The cross sections show
the flux responses (red) for the different current distributions (sketched
in blue): homogeneous current flow (1), a localized region of reduced
conductivity (2), and channels of enhanced current density (3).Hall bar devices enable precise
four-probe measurement of conductivity, as the current flows in a
defined direction of the device. Our goal is to determine the anisotropy
stemming from modulated current flow, similar to Figure c. For testing this experimentally,
we need to compare two situations: current flowing in the direction
of the stripy modulation and orthogonal to it. This is not possible
in a Hall bar configuration (see Figure a,b), as the current flows only in one predefined
direction. A squared configuration (Figure c,d) is more suitable for this purpose since
we can rotate the current direction over the same modulation. The
disadvantage of this geometry is the less defined current direction,
which may amplify the measured anisotropy compared to a Hall bar configuration.
In Figure e, we estimate
the differences in the anisotropy by numerically solving the continuity
current equation with spatially dependent conductance, simulating
stripes of different conductivity, width, and density. We compare
it to the expected anisotropy from an ideal Hall bar with the same
conductance pattern. The graph shows the resistance anisotropy for
both geometries as a function of the stripes width for 5 stripes and
conductivity ratio of 5 (conductivity of stripes/conductivity of bulk).
We show that the anisotropy of the square geometry is generally larger
than the anisotropy of the Hall bar geometry, with a ratio (red) of
typically 2.5. We find that for small number or very narrow stripes,
this difference is much less significant.
Figure 2
Device geometry for studying
the anisotropy. (a and b) Current flowing in a Hall bar geometry with
underlying modulations in resistivity. (c and d) Current flowing in
a square geometry has a less defined direction, but this geometry
is useful for sampling a certain underlying resistivity map from different
directions. In (c), most of the current flows along the stripes, while
in (d), most of the current flows perpendicular to the stripes. (e)
Calculated resistance anisotropy for a square and an ideal Hall bar
geometries as a function of normalized stripes width (width ×
length × number of stripes/area measured), for conductivity ratio
of 5, and 5 stripes. We define the anisotropy as the normalized difference
between the resistances on (a) and (b) [or (c) and (d) for square
geometry].
Device geometry for studying
the anisotropy. (a and b) Current flowing in a Hall bar geometry with
underlying modulations in resistivity. (c and d) Current flowing in
a square geometry has a less defined direction, but this geometry
is useful for sampling a certain underlying resistivity map from different
directions. In (c), most of the current flows along the stripes, while
in (d), most of the current flows perpendicular to the stripes. (e)
Calculated resistance anisotropy for a square and an ideal Hall bar
geometries as a function of normalized stripes width (width ×
length × number of stripes/area measured), for conductivity ratio
of 5, and 5 stripes. We define the anisotropy as the normalized difference
between the resistances on (a) and (b) [or (c) and (d) for square
geometry].Figure c,d shows magnetic maps for two different
current directions shown in Figure a,b, respectively. We observe sharp stripe-like features
and hole-like features in both cases. Subtraction of a Gaussian low
pass filter is shown in Figure e,f in order to enhance the features. These features reflect
abrupt variations in the local current distribution which are not
expected for spatially homogeneous samples as shown in Figure g,h. We extracted the local
current from the magnetic field distribution shown in Figure c,d, and the current magnitude
distribution is shown in Figure i,j. Although the magnetic flux is nonlocal in nature
and the whole electric current contributed to the measured magnetic
flux, if the current flows in a two-dimensional plane and one measures
the spatial dependence of the magnetic flux at a constant height from
the sample, it is possible to invert the magnetic flux to a local
current distribution as described in detail in ref (27). We observe a clear deviation
from the current distribution expected for a homogeneous sample (Figure k). Again we observe
wide stripes in which the current is large and thin stripes in which
the current is small. We also note hole-like regions of reduced current.
The local variation in current reflects local change in the sample
conductivity; i.e., the wide stripes are regions with higher conductivity
than the thin stripes. Simultaneously, we measured the global resistance
of the sample revealing a surprising result; we obtained an extremely
strong resistance anisotropy. The resistance measured with the current
flowing horizontally in Figure a, nominally perpendicular to the stripes, was R– = V–/I– = 50 Ω, nearly four times larger
than the case when the current was flowing mostly vertically (Figure b), along the stripes, R| = 14 Ω. The effect of anisotropy is
also manifested in the local current distribution; in Figure i, the stripes divert the current
to flow at longer paths, compared to the homogeneous medium case (Figure k). In Figure j, more of the current takes
the shorter paths, resulting in a smaller voltage drop and correspondingly
lower resistance.
Figure 3
SQUID mapping of current flow in different orientations.
(a) Horizontal measurement configuration. (b) Vertical measurement
configuration. (c–f) Scanning SQUID images of magnetic flux
generated by current flow: Raw data (c and d), and after subtracting
a low pass Gaussian filter (e and f). (g and h) Simulated magnetic
flux for a homogeneous sample by solving the current continuity equation,
∇·J = 0. (i–k) Local distribution
of current, extracted from the flux data (I and j), and simulated
for a homogeneous sample (k). Linear colorbars span [−5.8,
5.43] Φ0/A (c, d, g, and h), [−2.39, 2.43]
Φ0/A (e and f), [0,1.59] A/m (i–k).
SQUID mapping of current flow in different orientations.
(a) Horizontal measurement configuration. (b) Vertical measurement
configuration. (c–f) Scanning SQUID images of magnetic flux
generated by current flow: Raw data (c and d), and after subtracting
a low pass Gaussian filter (e and f). (g and h) Simulated magnetic
flux for a homogeneous sample by solving the current continuity equation,
∇·J = 0. (i–k) Local distribution
of current, extracted from the flux data (I and j), and simulated
for a homogeneous sample (k). Linear colorbars span [−5.8,
5.43] Φ0/A (c, d, g, and h), [−2.39, 2.43]
Φ0/A (e and f), [0,1.59] A/m (i–k).It has been shown that the striped
structure in LAO/STO current distribution is correlated with STO domain
configuration in the sample.[23,28] The domain configuration
can be imaged by polarized light microscopy, and we observed no difference
between the domain structure in STO, in LAO/STO heterostructures,
or in STO that was thermally treated in the same way as the LAO/STO
samples, but with no LAO layer grown on top.[23,28] In our case, the stripes are nearly parallel to the y-axis of the device (2.7° from the left edge), meaning that
all domains are in the ⟨010⟩ direction of the original
cubic phase.[23,28] To confirm the interplay between
the stripe configuration and the sample resistance, we repeated the
same experiment after cycling the temperature above 105 K and back
to 4 K. At ∼105 K, STO has a structural transition and different
domain configurations are expected to form upon cooling.[26] We repeated the experiment 12 times and the
results for 7 are shown in Figure . Figure a shows R– and R| for the different domain configurations which their
magnetic maps are shown in Figure b. We observe that when the stripes are along ⟨100⟩
or ⟨010⟩, a strong anisotropy is obtained with the resistance
of the current flowing along the stripes significantly lower than
the resistance of the current flowing perpendicular to them (Configurations
1, 6, and 7). When the stripes are mostly along ⟨110⟩
or ⟨11̅0⟩ directions (Configurations 2–5),
we measure almost no difference between the resistance of the two
directions since both I– and I| nominally flow 45° relative to the stripes.
This is also shown in Figure c which shows the anisotropy parameter, defined by 2|R––R||/(R–+R|) for the different domain configurations.
Figure 4
Anisotropy of a device
as a function of domain configuration. (a) Resistance measured in
the vertical (magenta) and horizontal (cyan) orientations. (b) Flux
data for each domain configuration, plotted for one current orientation.
Background was removed from images to emphasis features. Linear color
bar spans [−2.39, 2.43] Φ0/A. (c) Resistance
anisotropy, 2|R––R||/(R–+R|). Anistropy observed at 4.2 K (full circles),
but not at room temperature (empty circles).
Anisotropy of a device
as a function of domain configuration. (a) Resistance measured in
the vertical (magenta) and horizontal (cyan) orientations. (b) Flux
data for each domain configuration, plotted for one current orientation.
Background was removed from images to emphasis features. Linear color
bar spans [−2.39, 2.43] Φ0/A. (c) Resistance
anisotropy, 2|R––R||/(R–+R|). Anistropy observed at 4.2 K (full circles),
but not at room temperature (empty circles).To fully address the connection between the local variations
of conductivity and the measured global anisotropy, we focus on the
most pronounced case of resistance anisotropy, shown in Figure . Converting the local current
distribution to a local conductivity map is a rather challenging problem;
however, in the case the current flows mostly along the stripes (Figure j), we do not expect
a significant variation in the electric field from the homogeneous
conductivity case as the stripes effectively act as resistors connected
in parallel. Thus, for a rough estimation, we divide the local current
distribution (Figure j) by the electric field simulated for a homogeneous medium sample
to extract the local conductivity. The local conductivity map is shown
in Figure a. We observe
stripes of low and high conductivity consistent with the local current
distribution map. Using the extracted conductivity map, we numerically
calculate the resistance for the horizontal and vertical directions.
We obtain a ratio between R– and R| of 3.8, consistent with the measured ratio
of 3.57 in this case. Thus, we determine quantitatively that the major
source of the observed anisotropy are the stripes of conductivity
modulation, correlated with the STO domains.
Figure 5
(a) Approximated local
conductivity map, extracted from the local current distribution for
configuration 1 (configuration 1 is also shown in Figure ). (b) Histogram of current
modulation per stripe, taken from configurations 1–7. (Inset)
Current distribution map for part of configuration 1. Red cross section
is taken over one current modulation and plotted to the right. Red
area, the current modulation, excluding the estimated homogeneous
part of the current. Black area, the entire current in the direction
of the domains. The modulation was calculated as the ratio between
the areas, with error of 10%.
(a) Approximated local
conductivity map, extracted from the local current distribution for
configuration 1 (configuration 1 is also shown in Figure ). (b) Histogram of current
modulation per stripe, taken from configurations 1–7. (Inset)
Current distribution map for part of configuration 1. Red cross section
is taken over one current modulation and plotted to the right. Red
area, the current modulation, excluding the estimated homogeneous
part of the current. Black area, the entire current in the direction
of the domains. The modulation was calculated as the ratio between
the areas, with error of 10%.We quantified the modulation of current flowing along the
domains, for individual stripes, by defining it as the difference
between the total current (integrated over the stripe width) and the
“homogeneous” portion (interpolated between the minima
in the current cross section), divided by the total current, as shown
in the inset to Figure b. A histogram of current modulation on individual stripes is plotted
in Figure b, showing
that most of these current modulations are small. However, they can
also reach 95% meaning that almost the entire current is diverted
by the domains rather than flowing at the expected homogeneous pattern.
One of the remaining questions is whether the thin stripes originate
from thinner domains with lower conductivity or resolution limited
domain walls. For example, in Figure i (dashed circle), higher current flows in the wide
stripes, and thus, we attribute them to domains, while the thinner
stripes with lower current could be attributed to domain walls or
to thinner domains with reduced conductivity. In this example, we
observed reduction of the current in the resolution limited stripes,
and in other configurations, we observe enhancement. Thus, we cannot
differentiate between the two scenarios. Modulated conduction on domain
walls supports recent reports of local piezoelectric response in STO,
attributed to domain wall polarity.[29] Polar
domain walls could affect conduction by causing accumulation of interface
screening charges that counteract depolarization fields.[30−32] The domain wall polarity arises at ∼80 K and peaks at 40
K,[29] consistent with our observation of
modulated current flow in stripes only below ∼40 K.[23]The effect of the domain configuration
should become more pronounced as devices decrease in size, approaching
the characteristic length scale of the channels. Large, millimeter-sized
samples are more likely to harbor complicated domain configurations
within which the inhomogeneous current flow will statistically average
to zero, and therefore, we do not expect to detect any significant
anisotropy in such samples (note the low anisotropy in Figure , configurations 2 and 3).
We expect to observe strong anisotropy in devices smaller than ∼100
μm, where the possibility of having domains in only one direction
is higher. The effect is also relevant for experiments combining electrostatic
gate, where domain configuration is changed due to gate induced domain
wall motion.[23,24] Although ⟨100⟩
STO domains move away from the center of unpatterned samples,[24] ⟨110⟩ domains show the opposite
behavior,[28] and as a result, modulated
flow over domains is difficult to fully exclude from the sample by
gate sequence. To eliminate the undesired effects of the domains on
transport, some measures can be taken, such as cooling the devices
in the presence of directional strain or electric fields in order
to force the STO to monodomain formation. For developing an efficient
method, deeper understanding of the nature of the movement and nucleation
of the domains is needed. Controlling domain configuration and dynamics
may also guide applications exploiting the functionalities of the
domains as nanoscale mobile devices.[33,34]
Conclusions
In conclusion, we observed
strong anisotropy in the resistance of LAO/STO devices, which dramatically
changed across thermal cycles in the same device. By microscopically
mapping the distribution of the current flow, we correlate this anisotropy
with the configuration of structural domains. The strong anisotropy
implies that transport values can vary significantly over different
cooldowns (different domain configurations) of a certain device. The
fact that current is strongly diverted by the domains is crucial for
understanding the behavior of smaller devices, and for experiments
or functionalities where electrostatic gates are applied. Our results
emphasize the role of STO physics in determining interface conductivity,
among other factors that control variations in transport properties.[35−39] This provides an opportunity to use the diverse physical phenomena
of STO to control electronic properties of STO-based heterostructures.
Methods
LAO/STO samples with
5 unit cells of LAO film grown on TiO2-terminated {100}
STO substrate were prepared as described in ref (40). Patterned Hall bars and
square devices were made by prepatterning the substrate with a ∼100
nm thick amorphous AlO mask which was
lift-off deposited at room temperature with oxygen background pressure
of 0.1 mbar using pulsed laser deposition.The samples were
measured in a custom-built piezoelectric-based scanning SQUID microscope
with a 1.8 μm diameter pick-up loop.[41,42] We used the scanning SQUID microscope to image magnetic fields from
the sample as a function of position. The measured flux is given by
ϕs = ∫g(x, y)Bda where
the integral is taken over the plane of the SQUID, g(x, y) is the point spread function
of the pickup loop, B is the magnetic field produced
by the sample, and da is the infinitesimal area vector
element pointing normal to the plane of the SQUID. The AC magnetism
measurements were taken by applying an AC current to the sample and
collecting the flux created by currents in the sample using lock in
techniques. Each flux image is a convolution of the z component of the magnetic field and the SQUID point spread function.
A current carrying wire will appear in our images as a black stripe
next to a white stripe. The current flow is imaged by the SQUID loop
rastering about a micrometer above the surface. The imaging is not
affected by thin layers of nonconducting materials located between
the probe and the conducting interface. To obtain a more intuitive
image of the current in the sample, we inverted the magnetic field
image to current image using Biot-Savart and the SQUID point spread
function, using methods described in Roth et al.[27]
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