D Bruce Buchholz1, Qing Ma2, Diego Alducin3, Arturo Ponce3, Miguel Jose-Yacaman3, Rabi Khanal4, Julia E Medvedeva4, Robert P H Chang1. 1. Department of Materials Science and Engineering, Northwestern University , Evanston, Illinois 60208, United States. 2. DND-CAT, Northwestern Synchrotron Research Center at the Advanced Photon Source, Argonne National Laboratory , Argonne, Illinois 60439, United States. 3. Department of Physics and Astronomy, University of Texas at San Antonio , San Antonio, Texas 78249, United States. 4. Department of Physics, Missouri University of Science & Technology , Rolla, Missouri 65409-0640, United States.
Abstract
A series of In2O3 thin films, ranging from X-ray diffraction amorphous to highly crystalline, were grown on amorphous silica substrates using pulsed laser deposition by varying the film growth temperature. The amorphous-to-crystalline transition and the structure of amorphous In2O3 were investigated by grazing angle X-ray diffraction (GIXRD), Hall transport measurement, high resolution transmission electron microscopy (HRTEM), electron diffraction, extended X-ray absorption fine structure (EXAFS), and ab initio molecular dynamics (MD) liquid-quench simulation. On the basis of excellent agreement between the EXAFS and MD results, a model of the amorphous oxide structure as a network of InO x polyhedra was constructed. Mechanisms for the transport properties observed in the crystalline, amorphous-to-crystalline, and amorphous deposition regions are presented, highlighting a unique structure-property relationship.
A series of In2O3 thin films, ranging from X-ray diffraction amorphous to highly crystalline, were grown on amorphous silica substrates using pulsed laser deposition by varying the film growth temperature. The amorphous-to-crystalline transition and the structure of amorphous In2O3 were investigated by grazing angle X-ray diffraction (GIXRD), Hall transport measurement, high resolution transmission electron microscopy (HRTEM), electron diffraction, extended X-ray absorption fine structure (EXAFS), and ab initio molecular dynamics (MD) liquid-quench simulation. On the basis of excellent agreement between the EXAFS and MD results, a model of the amorphous oxide structure as a network of InO x polyhedra was constructed. Mechanisms for the transport properties observed in the crystalline, amorphous-to-crystalline, and amorphous deposition regions are presented, highlighting a unique structure-property relationship.
Fundamental understanding
of the chemical and structural origins
of transparent conducting oxides (TCOs) has allowed TCOs to evolve
into important materials for photovoltaic devices and optoelectronic
applications.[1−4] Transparent oxide semiconductors (TOSs) are currently being explored
as thin film transistor (TFT) materials, as an enabling technology
for the next generation of computing, communication, and identification
devices.[3,5] Initially, the technological application
of TCOs and TOSs employed these materials in their crystalline form.
There is, however, an increasing shift toward the use of these materials
in their amorphous form. In 2010, an estimated 30–40% of all
flat panel displays employed an amorphous TCO material.[6]Amorphous TCOs and TOSs (a-TCOs and a-TOSs) have several advantages over their
crystalline counterparts.
In general, amorphous materials are deposited at lower temperatures[7] which tend to simplify the deposition process
and expand the number of substrates the material can be deposited
on, such as plastics. Amorphous materials lack grain boundaries and
are isotropic and, hence, tend to etch more uniformly,[8−10] have lower surface roughness,[11,12] and can be deposited
uniformly over large areas.[8,13] Some amorphous materials
can also be less prone to fracture, hence being more pliable, lending
themselves to the possibility of flexible electronics.[8,14] These advantages are realized without a significant loss to the
seminal properties of conductivity and transparency, for optimized
materials.[15]The electrical and optical
properties of crystalline TCOs and TOSs
(c-TCOs and c-TOSs) are strongly
influenced by the oxygen content of the film;[16] the same is true for a-TCOs and a-TOSs.[17] For c-TCOs and c-TOSs, their properties are also affected by factors related
to the crystal structure such as grain size[18] and crystallographic direction.[19] By
understanding how structure affects properties, it has been possible
to improve the performance of c-TCOs and c-TOSs. An understanding of the structure in a-TCOs and a-TOSs would afford the same opportunity
for materials optimization. There is, however, a much smaller knowledge
base as to the structure of a-TCOs and a-TOSs than for their crystalline counterparts.The basic structure
for TCOs and TOSs is a network of MO polyhedra.
Each metal ion is coordinated with some
number of oxygen ions, known as the M–O coordination number
(NM–O), at some bond distance or
distances, known as the M–O bond-distance (RM–O), to form polyhedra. The polyhedra are then
linked together either at their corners, sharing one oxygen between
two polyhedra (corner-sharing polyhedra); at their edges, sharing
two oxygen between two polyhedra (edge-sharing polyhedra); or, much
less common, along their faces, sharing three or more oxygen between
polyhedra (face-sharing polyhedra), see Figure 1. The linking of polyhedra results in the formation of a network
where, ignoring the interposing oxygen for the moment, each metal
ion is coordinated with some number of other metal ions, the M–M′
coordination number (NM–M′), at some distance or distances, the M–M′ distance
(RM–M′). Here M and M′
are used since in multication materials a specific cation can be coordinated
with a multiplicity of other cation species. The fact that there is
an interposing oxygen between cations leads to the concept of a M–O–M′
bond angle. In discussing the structure of a TCO or TOS, one looks
at both the polyhedra structure (NM–O and RM–O) and the network formed
by the linked polyhedra (NM–M′, RM–M′, and the M–O–M′
bond angle). It is the distortions in the MO polyhedra and integration of the polyhedra into a continuous
network that ultimately govern the properties of the oxides.
Figure 1
Corner, edge,
and face sharing polyhedra.
Corner, edge,
and face sharing polyhedra.The crystalline structure for many of the indium oxide based
TCOs
and TOSs is that of indium oxide, In2O3 (IO),
bixbyite structure (space group Ia3, number 206).
Bixbyite is a fluorite-type structure with one-quarter of the anions
missing; a periodic structure that produces “structural vacancies.”
In the crystalline structure, the oxygen atoms are octahedrally coordinated
around indium; all indium cations are surrounded by six oxygen atoms
(c-NIn–O = 6) and two structural
vacancies. This is also known as the first-shell around indium. The
structural vacancy positions can sit along the body diagonal (b-site) or along a face diagonal (d-site),
Figure 2. The b-site represents
25% of the octahedra arrangement and the d-site 75%
of the octahedra arrangement. In the b-site arrangement,
all the oxygens are equidistant from the indium at 2.18 Å. In
the d-site arrangement, there are two oxygens at
each distance 2.13, 2.19, and 2.23 Å. The average In–O
bond distance for all arrangements in the theoretical structure is
2.18 Å (c-RIn–O = 2.18 Å).
The existence of structural vacancies gives rise to two configurations
by which InO6 octahedra link together in crystalline In2O3: In the first, both an oxygen and a structural
vacancy are shared between adjacent polyhedra with the end result
that the polyhedral are only joined at a corner, hence “corner
sharing;” in the second, two oxygens are shared between the
adjacent polyhedra with the end result that the polyhedra are joined
along the entire edge, “edge sharing,” Figure 2. This leads to two distinct sets of adjacent polyhedra
In–In neighbors: There are six-adjacent edge-sharing polyhedra, NIn–In = 6, at a distance of ∼3.34
Å, RIn–In = 3.34 Å, and
six-adjacent corner-sharing polyhedra, NIn–In* = 6, at a distance of ∼3.83 Å, RIn–In* = 3.83 Å. These make up the second and third
shells around indium, respectively, the first shell being the InO6 octahedra.
Figure 2
Structure of crystalline In2O3 (bixbyite).
Structure of crystalline In2O3 (bixbyite).A common method of probing the
structure of these materials is
extended X-ray absorption fine structure (EXAFS).[20] Fourier transform analysis of the EXAFS data yields structural
information in the vicinity of each kind of atom whose absorption
is probed. This information can include M–O and M–M′
coordination numbers (N) and bond distances (R) as well as the statistical spread of bond distances (σ2) due to thermal motion and/or static disorder; this last
factor is of particular interest in amorphous materials.[21] As mentioned, in materials built up of MO polyhedra, the M–O structure is often
referred to as the first shell and the nearest M–M′
structure as the second shell. In the first shell, there are no multiple
scattering effects, and the interpretation of data is fairly straightforward
even in multiple cation systems. Interpretation for data in the second
shell where multiple scattering effects can occur is complex, particularly
in multiple cation systems. The interpretation of the second shell
becomes more complex in amorphous systems where the second shell is
less well ordered; the third shell is even harder to interpret.Several EXAFS studies have been done on the structures of In, Ga,
Sn, and Zn containing a-TCOs and a-TOSs. These studies are summarized in the Supporting
Information. All but one deal exclusively with the first shell,
that is, the coordination of oxygen around the metal cations. Similarly,
available theoretical models of amorphous oxides derived from molecular
dynamics simulations focus primarily on the first shell M–O
results with no or limited information on the M–M distances
and coordination.[22−30] The coordination of oxygen around indium is frequently compared
to that of crystalline indium oxide (bixbyite), a c-NIn–O of 6 and c-RIn–O of 2.18 Å. With the exception of the studies by Cho et al.,
there is general agreement that in the amorphous materials RIn–O is contracted relative to that found
in the crystalline material. There is, however, little agreement in NIn–O, which ranges from a low of 4.5
to a high of 6.1. Differences in the chemical environments for the
different materials might contribute to the large spread of values
for NIn–O; however, even for compositionally
equivalent materials, such as InGaZnO4 where NIn–O ranges from 4.5 to 5.8 and Zn0.3In1.4Sn0.3O7 where NIn–O ranges from 5 to 6 (albeit set), there is
little agreement. Although these differences may be due, in part,
to differences in processing methods, the complexities encountered
when modeling multication systems make it possible to obtain different
results from the same data depending on the simplifying assumptions
and modeling parameters used. These difficulties in data interpretation
are greatly compounded for the second shell where multiscattering
effects and the suppression of the Fourier transform at the higher R-range require additional simplifying assumptions.Although pure indium oxide (IO) is rarely used in technological
applications, it is the progenitor of many TCO and TOS systems. In
structural studies like these, IO has the advantage over more complex
systems in that fewer constraints and assumptions need to be imposed
when modeling the data. For this study, a series of IO films, 350
nm thick, were grown by pulsed laser deposition (PLD) at temperatures
ranging from −100 to 600 °C in order to determine variations
in the structural characteristics and to relate those to the optimum
properties. X-ray absorption spectroscopy and EXAFS analysis were
performed on these samples to determine the indium–oxygen coordination
number (NIn–O) and the average
indium–oxygen bond distance (RIn–O), as well as the statistical spread of the bond distance (σ2In–O). Additionally the next-nearest neighbor
indium–indium coordination number (NIn–In) and the bond distance (RIn–In), as well as the statistical spread of the bond distance (σ2In–In), were determined.A powerful
model for the construction of a plausible structure
of an amorphous material is molecular dynamics (MD) liquid-quench
simulations. In a liquid-quench simulation, a crystalline structure
is heated to several thousand degrees for mixing. The equilibrium
melt is then cooled rapidly (quenched) in a stepwise fashion to a
final temperature; different total quench times are realized by changing
the quench rate. In some simulations, the cooled structure is allowed
to relax at constant volume to an energy-minimized quenched structure.
PLD is a physical analogue to a liquid-quench simulation. In PLD,
a crystalline target is heated to several thousand degrees by a laser
pulse. The plasma plume is rapidly cooled to a solid structure at
the substrate. The structure then relaxes, to some extent, to a local
energy minimum. The results of these experiments, therefore, readily
lend themselves to interpretation by MD liquid-quench simulations.
In this work, first-principles density-functional-based molecular
dynamics is employed to obtain a-IO structures at
different quench rates in order to understand their effect on the
structural properties of a-IO and to explain the
experimentally observed trends in PLD-grown samples. With the aid
of MD simulations, it was possible not only to corroborate the first
and second shell results by EXAFS but also to extract additional information
for the third-shell structure of a-IO.
Experimental Section
IO thin-films, ∼350 nm
thick, were grown by PLD from a dense
hot-pressed In2O3 target (25 mm diameter). PLD
was accomplished with a 248 nm KrF excimer laser with a 25 ns pulse
duration and operated at 2 Hz. The 200 mJ/pulse beam was focused onto
a 1 mm × 3 mm spot size. The target was rotated at 5 rpm about
its axis to prevent localized heating. The target–substrate
separation was fixed at 10 cm. The films were grown on fused-silica
substrates in an O2 ambient of 8 mTorr. The substrates
were attached to the substrate holder with silver paint. For films
grown above room temperature, a resistively heated substrate holder
was used; for films grown below room temperature, a liquid nitrogen
cooled substrate holder was used.Sheet resistance (Rs: Ω/□),
carrier type, area carrier
concentration (na: 1/cm2), and carrier mobility (μH: cm2/V·s) were measured with an Ecopia 3000
Hall measurement system on samples in the van der Pauw geometry. Carrier
density (nv: 1/cm3) and resistivity (ρ: Ω·cm)
were calculated by dividing the area carrier concentration and sheet
resistance, respectively, by the film thickness. Film thickness (d: nm) was measured using a spectral reflectometer (Filmetrics
F20). Grazing incidence X-ray diffraction (GIXRD) was performed using
an 18 kW Rigaku ATX-G diffractometer. Cu Kα radiation (λ
= 1.54 Å) was conditioned by a parabolic multilayer mirror and
collimated to produce a 0.1 mm (vertical) by 5 mm (horizontal) beam
with an incident flux of ∼2 × 108 photons/s;
a beam incident angle of 0.46° was used. Film composition was
measured by X-ray Photoelectron Spectroscopy (XPS) using a Thermo
Scientific ESCALAB 250Xi using a Al Kα source and a takeoff
angle of 90°. An argon ion source was used to clean carbon from
the surface prior to analysis. The flood gun was used on all analysis
although it was only needed on the more insulating samples to maintain
charge neutrality.X-ray absorption spectroscopy (XAS) was performed
at the 5-BMD
beamline of DND-CAT at the Advanced Photon Source (APS) of Argonne
National Laboratory (Argonne, IL). The In Kα fluorescence emissions
from the indium oxide thin films were measured using a four-element
Si-drifted detector (SII) with the incident X-ray angle θ at
about 45° with respect to the sample surface. The XAS data were
analyzed with the ATHENA software packages.[31] The data were Fourier transformed with a Hanning window over multiple k ranges where one-shell and three-shell fits were examined;
see the Supporting Information for a detailed
analysis of the rationale behind the choice of fit parameters. The k-range of the EXAFS data used in the analyses was k = 2.24–12.67 Å–1 with a k-weight of 2. Fitting carried out in R space was from R = 1.0 to 2.0 Å for the one-shell
model and R = 1.0 to 4.0 Å for the three-shell
model. Paths for the first (In–O), second (In–In), and
third (In–In*) were used in the three-shell model; only the
first shell was used in the one-shell model.For transmission
electron microscopy (TEM), the IO films were mechanically
cleaved from the substrate and deposited onto a holey carbon grid.
The samples were studied using a Jeol ARM 200F microscope operated
at 200 keV. In order to prevent crystallization by the electron beam,
the samples were examined under low electron-dose illumination using
the smallest condenser lens aperture (10 μm). In this way, the
same illumination conditions were used for selected area electron
diffraction (SAED) patterns taken with a beam current ranging between
5 and 15 pA/cm2, and patterns were collected at exposure
times of 10 to 20 s.
Theoretical
The amorphous In–O structures were generated using first-principles
molecular dynamics as implemented in the Vienna Ab Initio Simulation
package.[32−35] These calculations are based on the density functional theory (DFT)
within generalized gradient approximation (GGA) with the PBE functional.[36] For initial structure, bixbyite In2O3 supercells containing 80, 130, or 180 atoms and with
a density of 7.12 g/cm3 were used. To remove the memory
of the atomic arrangement, the initial structure was melted at 3000
K for 6 ps. Next, the melt was cooled to 2200–1700 K at the
rate of 100 K/1.2 ps and then rapidly quenched to 100 K using different
quench rates ranging from 700 K/ps to 5 K/ps. In order to make these
challenging calculations computationally efficient, a low cutoff of
260 eV was used and k-point sampling was restricted to the Γ
point only. The final structures were equilibrated at 300 K for 6
ps with a cutoff of 400 eV. All simulations were carried out within
the NVT ensemble with a Nosé–Hoover thermostat using
an integration time step of 2 fs. For the amorphous structures with
different supercell sizes, we analyzed the pair distribution functions
and found that an 80-atom supercell is sufficient to describe the
amorphous character, as found in previous theoretical calculations.[23]We note here that a typical cooling rate
employed in ab
initio MD simulations of amorphous oxides is 200–100
K/ps; slower cooling rates in DFT-based MD require significant computational
efforts and were not previously reported for amorphous oxide semiconductors
(in contrast to classical MD simulations). These quench rates were
shown to produce reliable amorphous structures.[23,24,37−39] Indeed, simple estimations
based on the thermal conductivity, heat capacity, and density of In2O3 suggest that a time of 10–12 to 10–13 s is required to cool a 1 nm thick oxide
by 1 K. In this work, cooling rates ranging from ∼700 K/ps
to 5 K/ps are employed to compare the MD simulation results to the
experimentally observed dependence of the structural properties on
the PLD deposition temperature. The agreement between EXAFS and MD
results helps explain the intriguing behavior of mobility near the
crystalline–amorphous transition. Additionally, the results
of the MD simulations are used to apply reasonable constraints on
the EXAFS analysis of the second and third shells.
Results and Discussion
For many thin-film material systems, the transition between amorphous
and crystalline can be accomplished by changing the temperature of
deposition; the crystalline phase being favored by higher deposition
temperatures. Such is the case for IO deposited on fused quartz by
PLD. Figure 3 is the GIXRD patterns of IO films
∼350 nm thick. Films grown at temperatures of 0 °C and
below are all X-ray diffraction amorphous (a-IO).
The first sign of crystallinity is observed at +25 °C. The GIXRD
spectra for the crystalline films (c-IO) are typical
of that observed for polycrystalline bixbyite In2O3.
Figure 3
GIXRD patterns of indium oxide films, ∼350 nm thick, as
a function of deposition temperature. The c-IO/a-IO ratio, is determined by the area of the crystalline
XRD peaks to the combined areas of the crystalline XRD peaks and the
“amorphous hump.”
GIXRD patterns of indium oxide films, ∼350 nm thick, as
a function of deposition temperature. The c-IO/a-IO ratio, is determined by the area of the crystalline
XRD peaks to the combined areas of the crystalline XRD peaks and the
“amorphous hump.”The films deposited at 0 °C and below have been referred
to
as “X-ray diffraction amorphous” rather than simply
amorphous because they can still contain nanocrystalline inclusions.
At deposition temperatures as low as −50 °C, nanocrystalline
inclusions, 1.9 to 2.4 nm in size, can be found in a dominant amorphous
phase as seen in the HRTEM image of Figure 4a; the SAED inset confirms the presence of a dominant amorphous phase.
As the deposition temperature is increased to 0 °C, the size
of the nanocrystalline inclusions increases to between 2.2 and 3.4
nm; the amorphous phase is still dominant, Figure 4b. At a deposition temperature of +100 °C, where crystallinity
is clearly visible by X-ray diffraction, the crystals are quite large
and more dominant as evidenced in Figure 4c
where the inset SAED pattern has begun to form diffraction reflections
which are closer in appearance to a highly crystalline sample, Figure 4d, than the amorphous samples, Figure 4a and b. Although nanocrystalline inclusions exist in the
diffraction amorphous films, to simplify notation, for the remainder
of the paper the diffraction amorphous films will simply be referred
to as amorphous and the advent of crystallinity to occur at +25 °C
where it is first observable by X-ray diffraction.
Figure 4
HRTEM images of indium
oxide films deposited at (a) −50
°C, (b) 0 °C, (c) +100 °C, and (d) +600 °C. Insets
are representative SAED patterns from the respective films.
HRTEM images of indiumoxide films deposited at (a) −50
°C, (b) 0 °C, (c) +100 °C, and (d) +600 °C. Insets
are representative SAED patterns from the respective films.One of the main objectives for
the study of structure is to optimize
properties; for TCOs and TOSs one property of major interest is carrier
mobility (μH). Figure 5 shows
the Hall carrier mobility of the 350 nm films as a function of growth
temperature. In the high temperature c-IO region
(+400 to +600 °C), μH is high (60–70
cm2/V·s), typical of highly crystalline (albeit polycrystalline)
films. The value of μH is again quite high (∼60
cm2/V·s) right at the advent of crystallinity (0 °C
to +25 °C); the possible origins of this high mobility will be
explored in the EXAFS analysis and MD simulations sections. The mobility
decreases between −25 °C and −100 °C and reasons
for this will also be explored in the EXAFS analysis and MD simulations
sections. The region between the a-IO and c-IO films has a decrease in mobility from that observed
for both the films deposited in the high temperature crystalline region
(≥400 °C) and the films deposited right at the advent
of crystallinity (0 to 25 °C). This region contains both crystalline
and amorphous material in sufficient quantities to be detectable by
X-ray diffraction; incoherent boundaries between the crystalline and
amorphous phases can serve as scattering centers. As the first crystallites
form in a majority amorphous phase, they act as scattering centers
that lower the mobility; further increase in deposition temperature
increases the number of crystalline scattering centers attended by
further decrease in mobility until the crystalline phase becomes the
major percolation path through the material. At this point, the amorphous
regions become the de facto scattering centers. A
further increase in temperature decreases the amorphous fraction,
thereby decreasing the number of scattering centers and increasing
mobility.
Figure 5
Hall mobility of indium oxide films, ∼350 nm thick, as a
function of deposition temperature.
Hall mobility of indium oxide films, ∼350 nm thick, as a
function of deposition temperature.XAS and EXAFS analysis was performed on the same samples
to gain
greater insight into the differences in film structure. The In–O
coordination numbers are shown in Figure 6a.
The highly crystalline samples have 6-fold oxygen-coordination around
indium (c-NIn–O ∼ 6) consistent with the bixbyite structure. The fully amorphous
films have significantly lower oxygen-coordination around indium (a-NIn–O ∼ 5.3). Two possible reasons
for the lower oxygen coordination are a difference in stoichiometry
or a change in structure. XPS was used to compare the composition
of a similar set of thinner (65 nm) films deposited over the same
temperature range (−100 to 600 °C); all the films had
the same In/O ratio within ±5% with no observable trend with
respect to deposition temperature. Hence, a change in structure is
the more plausible explanation for the change in NIn–O.
Figure 6
(a) In–O coordination number, NIn–O, (b) In–O bond distance, RIn–O, and (c) σ2In–O for the In–O
shell of indium oxide films, ∼350 nm thick, as a function of
deposition temperature: Red markers, powdered In2O3 standard.
(a) In–O coordination number, NIn–O, (b) In–O bond distance, RIn–O, and (c) σ2In–O for the In–O
shell of indium oxide films, ∼350 nm thick, as a function of
deposition temperature: Red markers, powdered In2O3 standard.The In–O bond
distance for the highly crystalline samples
is, on the average, ∼2.17 Å (RIn–O = 2.17 Å), Figure 6b, just slightly
less than the ideal structural distance of 2.18 Å. There is a
further contraction in the average In–O bond distance in the
amorphous films. This is consistent with a reduced coordination number
observed in the amorphous films; lower oxygen coordination also allows
a reduction in In–O distance while maintaining O–O separation.
The minimum at 0 °C, ∼2.14 Å, is interesting in that
it also corresponds to the highest temperature at which an amorphous
film can be grown and the point of highest carrier mobility. However,
because of the relatively small variation in RIn–O for the amorphous samples additional measurements
would be needed to confirm a minimum. The statistical spread of bond
distances (σ2In–O) due to thermal
motion and/or static disorder ranges from a low of ∼0.0054
Å2 to a high of ∼0.0085 Å2,
Figure 6c. As might be expected, the lowest
σ2In–O corresponds to the highly
crystalline films deposited at 400 and 600 °C, and the highest
σ2In–O to the amorphous films.To achieve an amorphous structure, the regularity of the crystalline
structure, Figure 7a, must be perturbed, usually
in bond distance and/or bond angle. If, for the moment, the polyhedra
are assumed relatively undistorted, the structure can still become
amorphous by virtue of distortions in the way the polyhedra are linked.
Consider what happens when the In–O–In bond angle is
changed by the rotation of the polyhedra edges about an oxygen. If
the rotation occurs between corner-sharing polyhedra, Figure 7b, the net effect is to change the In–In
bond distance as well as the In–O–In bond angle. If
the rotation occurs between edge-sharing polyhedra, Figure 7c, the net effect is not only to change the In–O–In
bond angle and In–In bond distance but to also require the
introduction of an additional structural vacancy thus lowering the
In–O coordination number by an average of 1/2 for the two polyhedra
involved, Figure 7c; the polyhedra will also
change from being edge-sharing to corner-sharing. A second way the
In–O coordination number could be lowered is by rotating the
polyhedra along an edge thereby disjoining adjacent polyhedra; the
separation of corner-sharing polyhedra would result in lowering the
In–O coordination number by an average of 1/2 for the two polyhedra
involved, Figure 8b, and the separation of
edge-sharing polyhedra would result in lowering the In–O coordination
number by an average of 1 for the two polyhedra involved, Figure 8c. The caricatures of the rotations in Figures 7 and 8 are greatly simplified.
In the crystalline solid, the polyhedra are linked over large volumes;
when a polyhedron is rotated, the bonds with all adjacent polyhedra
are perturbed which are, in turn, displaced within the lattice network.
The net effect, if stoichiometry is maintained, is to reduce NIn–O.
Figure 7
(a) Unperturbed lattice; (b) rotation
of corner sharing polyhedra;
(c) rotation of edge sharing polyhedra.
Figure 8
(a) Unperturbed lattice; (b) breaking of corner sharing bond; (c)
breaking of edge sharing bond.
(a) Unperturbed lattice; (b) rotation
of corner sharing polyhedra;
(c) rotation of edge sharing polyhedra.(a) Unperturbed lattice; (b) breaking of corner sharing bond; (c)
breaking of edge sharing bond.For c-IO, the second shell is made up of
the six-adjacent
edge-sharing polyhedra, NIn–In =
6, at a distance of RIn–In ∼
3.34 Å. The highly crystalline samples, 400 and 600 °C,
have 6-fold nearest-neighbor In−In coordination (c-NIn–In ∼ 6) consistent with the number of
edge-sharing nearest-neighbor polyhedra in the bulk bixbyite structure.
The fully amorphous films have significantly lower nearest-neighbor
In−In coordination (a-NIn–In ∼ 2), Figure 9a. For the highly crystalline
films, the nearest-neighbor In−In distance is, on the average,
3.36 Å (c-RIn–In ∼
3.36 Å), slightly larger than the value for the ideal bixbyite
structure. This decreases to a minimum of 3.29 Å for the fully
amorphous sample grown at 0 °C (a-RIn–In ∼ 3.31 Å), Figure 9b. Again,
the minimum bond distance is observed at the point of highest mobility.
The statistical spread of In–In bond distances (σ2In–In) due to thermal motion and/or static
disorder ranges from a low of ∼0.004 Å2 to
a high of ∼0.014 Å2, Figure 9c. As might be expected, the lowest statistical spread corresponds
to the highly crystalline films deposited at 400 and 600 °C;
the highest statistical spread to the amorphous samples.
Figure 9
(a) In–In
coordination number, NIn–In; (b)
In–In bond distance, RIn–In; and (c) σ2 for the In–In shell, σ2In–In, of indium oxide films, ∼350
nm thick, as a function of deposition temperature: Red markers, powdered
In2O3 standard.
(a) In–In
coordination number, NIn–In; (b)
In–In bond distance, RIn–In; and (c) σ2 for the In–In shell, σ2In–In, of indium oxide films, ∼350
nm thick, as a function of deposition temperature: Red markers, powdered
In2O3 standard.The decrease in NIn–In is consistent
with the mechanism proposed for the decrease in NIn–O. The rotation pictured in Figure 7c would convert two edge-shared second-shell polyhedra
into two corner-shared third-shell polyhedra while increasing the
number of structural oxygen vacancies by only 1. A similar effect
has been observed in quartz where crystalline quartz was observed
to have c-NSi–O ∼ 4.0 and c-NSi–Si ∼ 4.0 while fused silica was observed to have a-NSi–O ∼ 3.7 and a-NSi–Si ∼ 1.1.[40] The rotation in the In–O–In bond
angle can also account for the decrease in RIn–In. The second shell bond distance, RIn–In, is more or less a maximum in the crystalline
structure; therefore, RIn–In would
be expected to decrease in the amorphous phase and be attended by
an increase in σ2In–In. A decrease
in RIn–In increases the In–In
bond orbital overlap, which would contribute to higher mobility. The
decrease in mobility with a further decrease in deposition temperature
from 0 °C is attended by an increase in RIn–In. Here, we believe the lattice is frozen in a less
relaxed state before polyhedra can rotate into closer proximity. X-ray
reflectivity studies on thinner films (60 nm thick) indicate as the
deposition temperature is lowered below the point at which the films
become X-ray diffraction amorphous the density of the films decrease;[41] this would be consistent with a more open structure
being frozen in place.The analysis of the third shell, the
structure of the corner shared
polyhedra, is more difficult to determine; even for the highly crystalline
samples the calculated third-shell coordination number is ∼5
(c-NIn–In* ≈
5), see the Supporting Information. There
is, however, a piori knowledge that this value should
be ∼6 because of the highly crystalline nature of the samples.
When the value of NIn–In* is constrained
in the model to 6, the computed value for the third-shell neighbor
distance is 3.84 Å, with a statistical spread of 0.006 Å2. The calculated bond distance is just slightly larger than
the value of 3.83 Å found in an ideal crystal, and the statistical
spread is consistent with the values found for the first and second
shell, ∼0.006 Å2 and ∼0.005 Å2, respectively. It would be convenient to be able to have a piori knowledge of the amorphous structure. One source
would be MD liquid-quench simulations of the amorphous structure.
However, as shown in the Supporting Information, because of the large value of σ2In–In* in the amorphous structure even the results of the MD simulations
hold marginal utility in extracting information about the third shell
in a-IO from the EXAFS results. The MD simulations
themselves can be used as a source of information about the third
shell if the simulation can be validated by good agreement with the
EXAFS results for the first and second shells.The results of ab initio MD liquid-quench simulations
for a-IO were analyzed. From the calculated radial
pair distribution functions of the optimized structures, independent
of the cell size, an average In–O bond distance, R̅In–O ∼ 2.16 Å, and an average In–O
coordination number, N̅In–O ∼5.2, were obtained, in agreement with previously reported
MD values for a-IO and other In-based oxide semiconductors.[22−29] The value of N̅In–O is
also in excellent agreement with NIn–O obtained from the EXAFS results. The calculated In–O distances
are slightly overestimated compared to the experimental values, as
expected from the PBE approximation of the density-functional calculations.[36] For a more accurate comparison of the local
order in the structures obtained via different cooling rates, the
effective coordination number (ECN) and the average pair correlation
function was calculated for each structure.[42,43] The results are shown in Figure 10. Both R̅In–O and N̅In–O decrease as the cooling rate increases from
5 K/ps to about 250 K/ps, i.e., for more amorphous structures. A minimum
for R̅In–O and N̅In–O values as well as a maximum value of σ̅2In–O occur within a 200–400 K/ps
cooling range; then, both R̅In–O and N̅In–O slightly increase
in faster-cooled structures. The trend is in excellent agreement with
the experimental ones observed for both NIn–O and RIn–O within the amorphous
region of the deposition temperatures, Figure 6a and b; the low temperature regions of Figure 6 are replotted in Figure 10. Thus, both the
In–O bond length and the In–O coordination decrease
upon amorphization; the obtained deviations in the first shell, however,
cannot alter the electronic band structure (e.g., electron effective
mass) sufficiently enough to explain the observed 3-fold change in
the electron mobility, Figure 5. It should
be noted that the alignment of the deposition temperature axis (upper
axis) and the cooling rate axis (lower axis) of Figure 10 are based on a “fit by eye” and have no empirical
correlation; the alignment, however, is consistent for all parts of
Figures 10, 12, and 14.
Figure 10
First-shell, In–O. (a) Effective coordination number, (b)
average bond distance, and (c) bond-distance statistical spread obtained
from the MD simulations for 80-atom cell a-InO with
different cooling rates on bottom axis (black circle markers). Blue
diamond markers, low deposition temperature region (top axis) of EXAFS
data.
Figure 12
Second-shell, In–In. (a) Coordination
number, (b) average
bond distance, and (c) bond-distance statistical-spread obtained from
the MD simulations for 80-atom cell a-IO with different
cooling rates on the bottom axis (black circle markers). Blue diamond
markers, low deposition temperature region (top axis) of EXAFS.
Figure 14
Percent contribution
edge-shared InO6–InO6 polyhedra with
respect to total (edge and corner) shared
InO6 pairs as a function of cooling rate (black): Low temperature
region of Hall mobility versus deposition temperature curve of Figure 5 (blue).
First-shell, In–O. (a) Effective coordination number, (b)
average bond distance, and (c) bond-distance statistical spread obtained
from the MD simulations for 80-atom cell a-InO with
different cooling rates on bottom axis (black circle markers). Blue
diamond markers, low deposition temperature region (top axis) of EXAFS
data.As already mentioned above, experimental
description of the In–In
distribution in amorphous oxides is challenging; theoretical works
also lack important details about the In–In distances and coordination
in amorphous oxides. The challenge arises from the proximity of the
second and third shells (at 3.35 and 3.83 Å in c-IO), causing the corresponding pair distribution functions to overlap
in the amorphous state. The total In–In distribution becomes
over 1 Å wide, making the exponential fit in the ECN calculations
inapplicable.In order to distinguish between the second and
third shells, the
optimized atomic coordinates of the MD simulated structures were used
to perform the following analysis. For every In atom, the number of
In neighbors that share one, two, or three oxygen atoms with the central
In atom was determined. The resulting average In–In coordination
numbers represent corner, edge, or face-shared In–In, respectively.
In this analysis, the maximum In–O distance to be considered
as an In–O bond was set to 2.36 Å. This cutoff value is
greater than the longest first-shell In–O distance in crystalline
In2O3 and ensures that most of the first-shell
In–O distances in the In–O pair distribution function
(i.e., those that belong to the first-shell peak) are included. The
In–In pair distribution functions calculated separately for
edge-shared and corner-shared In atoms are given in Figure 11a. In addition, the average In–In distances,
coordination numbers, and statistical spreads for both edge- and corner-shared
In–In pairs were calculated, Figure 12. (The large statistical
spread (Figure 12c) would certainly render
the EXAFS data to contain little, if not be completely absent of,
information on the third shell or corner-shared In–In interaction.)
On the basis of the results, the following three important conclusions
can be made:
Figure 11
(a) Pair distribution functions for edge-shared In–In
(solid
lines: centered at ∼3.4 Å) and corner-shared In–In
(dashed lines: centered at ∼3.7 Å) as obtained from the
MD simulations for 80-atom cell a-IO with different
cooling rates. (b) Total In–In coordination as a function of
distance.
(a) Pair distribution functions for edge-shared In–In
(solid
lines: centered at ∼3.4 Å) and corner-shared In–In
(dashed lines: centered at ∼3.7 Å) as obtained from the
MD simulations for 80-atom cell a-IO with different
cooling rates. (b) Total In–In coordination as a function of
distance.Second-shell, In–In. (a) Coordination
number, (b) average
bond distance, and (c) bond-distance statistical-spread obtained from
the MD simulations for 80-atom cell a-IO with different
cooling rates on the bottom axis (black circle markers). Blue diamond
markers, low deposition temperature region (top axis) of EXAFS.1. The edge-shared In–In
distances are distributed between
3.0 and 3.8 Å with the peak located around 3.3 Å, Figure 11a, which corresponds to the second shell edge-shared
In–In distance in c-IO. The average In–In
distance calculated for the edge-shared In–In pairs, R̅In–In, varies with cooling rate,
Figure 12b: the lowest values of 3.26–3.27
Å were obtained for the structures cooled at 333–167 K/ps.
The trend in R̅In–In agrees
well with the experimental observation for the second shell RIn–In, Figure 9b, where the lowest value of 3.28 Å was observed for the structure
deposited at 0 °C. Furthermore, the calculated edge-shared In–In
coordination, N̅In–In, remains
at about 2.0 for all structures except for the one cooled at the slowest
rate, in excellent agreement with the experiment, Figure 9a. The value of N̅In–In increases to 2.7 for the most “ordered” structure
(5 K/ps) as might be expected toward the onset of crystallinity. Thus,
the number of edge-shared In–In does not determine the transport
properties in oxides.2. Although the edge-shared In–In
coordination is significantly
suppressed (from 6 to 2) in a-IO, the total In–In
coordination which combines face-, edge-, corner, and non-sharing
In–In pairs, remains close to the one for the c-IO Figure 11b: the total In–In coordination
reaches 6 at about 3.6 Å and 12 at about 4.2 Å in all amorphous
IO structures independent of the cooling rates. Hence, a significant
part (about 60%) of the edge-shared In–In pairs become corner-shared
upon amorphization, as, indeed, can be seen from the average corner-shared
In–In coordination of about 8, Figure 13, left axis.
Figure 13
Third-shell, black diamonds: left axis, In–In*
coordination
number. Blue squares: right axis, average bond distance.
Third-shell, black diamonds: left axis, In–In*
coordination
number. Blue squares: right axis, average bond distance.3. Accordingly, the corner-shared In–In
distance distribution
begins at around 3.0 Å, Figure 11a, resulting
in a significant overlap with the edge-shared In–In distribution
function. This finding highlights the challenge in distinguishing
between the second and third shells from the general pair distribution
function. Moreover, the corner-shared In–In distance distribution
is almost twice as wide as the edge-shared one and includes long In–In
distances at and above 4 Å. The average corner-shared In–In
distance, R̅In–In*, is about
3.63 Å for all structures (Figure 13,
right axis) which is smaller than the crystalline corner-shared In–In
distance of 3.8 Å.Because the In–O (first-shell)
distances are generally preserved
upon amorphization, c.f., Figures 6 and 10, the wide distribution of the corner-shared In–In
distances determines the In–O–In angle distribution.
The In–O–In angle defines the connection between the
InO polyhedra as well as the molecular
p orbital of the oxygen atoms. To understand the role played by the
In–O–In angle in the properties of amorphous oxides,
the In–O–In angle distribution for corner- and edge-shared
In–In pairs was calculated (given in the Supporting Information).As expected, the edge-shared
In–O–In angle distribution
is narrow with the average value of 98° which is close to the
edge-shared In–O–In angle value of 99.5° in c-IO. Also, the values of the average edge-shared In–O–In
angle in a-IO vary insignificantly with the cooling
rate. For the corner-shared In–In pairs, the average In–O–In
angle is 115°, which does not have an analogous value in c-IO. The corner-shared In–O–In angle distribution
function is wide, ranging from 95° to 130°, with two visible
peaks at 109° and 124°. The latter angle value is close
to the corner-shared In–O–In angle of 126° in c-IO. Importantly, the structures, obtained via intermediate
cooling rates (333 K/ps and 250 K/ps), exhibit a plateau in the corner-shared
In–O–In angle distribution having the weight of the
first peak reduced, and a shoulder appears at 140°. Indeed, these
structures exhibit the largest average In–O–In angle
of 134° (calculated for corner-shared In–In distance range
of 3.9–4.1 Å) as compared to 129–131° for
both the fastest and slowest cooling rates.Strikingly, the
intermediate cooling rates resulted in the structures
with the lowest distances, RIn–O (R̅In–O) and RIn–In (R̅In–In), and coordination numbers, NIn–O (N̅In–O) and NIn–In (R̅In–In), for the first and second shells as obtained both from the experiment
and theoretical simulations. Since the structures with largest corner-shared
In–O–In bond angle (obtained via intermediate cooling
rates, 333 K/ps and 250 K/ps) seem to correspond to the highest mobility
observed near the deposition temperature of 0 °C (Figure 4), it is critical to investigate this further. A
large In–O–In angle may suggest a higher-symmetry molecular
orbital for the oxygen p states, and, hence, a better overlap between
the spherical s states of In atoms with the two directional p orbitals
of the shared oxygen atom, giving rise to a smaller electron effective
mass. However, the obtained angle deviations cannot result in a significant
change in the effective mass; another mechanism should be responsible
for the observed 3-fold mobility increase near the amorphous–crystalline
transition. As mentioned above, the In–O–In angle determines
the spatial distribution of the InO polyhedral,
i.e., the way the InO polyhedra are connected.
Large corner-shared In–O–In angles correspond to a longer
In–In distances (of ∼4.0 Å on average); hence,
one can suggest a formation of connected In–O–In chains
in these structures. Spatially spread, connected chains may represent
long conductivity paths and lead to an enhanced mobility.To
verify the above assumption, the atomic structures of the a-IO obtained via different cooling rates were analyzed.
First, we identify the InO6 polyhedra in every structure
and determine the number of the corner- and edge-shared pairs for
the InO6 polyhedra only; Figure 14 is the percentage of
edge-shared InO6–InO6 bonds as a function
of cooling rate. We find that the slow-cooled structure (5 K/ps) possesses
the largest number of edge-shared InO6–InO6 bonds (above 50%), whereas for fast-cooled structures (300 K/ps
and above), the contribution from the edge-shared InO6 pairs
remains at about 30%. Most strikingly, the number of edge-shared InO6 pairs is suppressed to as low as 10% for the structure obtained
via 166 K/ps cooling rate so that the InO6 polyhedra are
primarily connected via corner-sharing polyhedra. Also plotted on
Figure 14 is the low temperature region of
Figure 5, Hall mobility as a function of deposition
temperature. The maximum in mobility coincides with the minimum in
edge-shared InO6 pairs; the alignment of the deposition
temperature and cooling rate scale is consistent with that used to
compare the simulations with the EXAFS data.Percent contribution
edge-shared InO6–InO6 polyhedra with
respect to total (edge and corner) shared
InO6 pairs as a function of cooling rate (black): Low temperature
region of Hall mobility versus deposition temperature curve of Figure 5 (blue).In Figure 15, the spatial distributions
of the InO6 polyhedra are plotted for the representative
structures—those obtained via 500 K/ps, 250 K/ps, and 50K/ps
quench rates. The following important observations are made. In the
fast-cooled samples (500 K/ps and above), disconnected InO6 polyhedra and small clusters of 2–3 InO6 polyhedra
connected via corner sharing were found. In contrast, the samples
obtained via intermediate cooling rates (333–167 K/ps) feature
long chains of mostly corner-shared InO6 polyhedra. As
discussed above, these cooling rates correspond to an increased probability
for large In–O–In angles and long In–In distances.
Consequently, at these cooling rates the InO6 are connected
throughout the cell, enabling continuing conductivity paths for charge
carriers. At a slower cooling rate, the number of edge-shared In–In
pairs increases, Figures 9a and 12a. Indeed, in the slow-cooled samples (50–5K/ps), large
clusters of InO6 connected via edge and face sharing were
found. Such clusters represent the on-set of nucleation of crystallites
observed above the amorphous–crystalline transition (i.e.,
above the room temperature), Figure 4. The
presence of such crystallites in the multiphase system leads to an
enhanced scattering and, hence, to a decreased mobility. From additional
MD simulations of a-IO within an 180-atom cell, the
trends in the spatial distribution of InO6 polyhedra with
the cooling rates were confirmed; moreover, it was found that at slow
cooling rates (83 K/ps) the large InO6 clusters are disconnected
from each other, even at an In–In distance as large as 4.0
Å.
Figure 15
Spatial distribution and connectivity of the InO6 polyhedra
in amorphous InO obtained via 500 K/ps (top), 250 K/ps (middle), and
50 K/ps (bottom) cooling rates. Indium and oxygen atoms are shown
with large (red) and small (blue) balls. Only InO6 polyhedra
are shown in these plots.
Spatial distribution and connectivity of the InO6 polyhedra
in amorphous InO obtained via 500 K/ps (top), 250 K/ps (middle), and
50 K/ps (bottom) cooling rates. Indium and oxygen atoms are shown
with large (red) and small (blue) balls. Only InO6 polyhedra
are shown in these plots.
Conclusions
Thorough experimental and theoretical analyses
of the structural
characteristics of IO systems reveal the key mechanisms governing
the properties of this oxide under amorphous-to-crystalline transition.
The EXAFS and MD results for coordination numbers, bond distances,
and statistical spreads are consistent with a concept of an amorphous
oxide structure as one built of InO polyhedra
joined at the corners or edges to form a network structure in which
the number of edge-sharing polyhedra are greatly diminished. Based
on excellent agreement between EXAFS experimental results and MD liquid
quench simulations obtained for the first and second shells of a-IO, important conclusions about the third shell (corner-shared
In–In) were derived from the MD simulations.The local
maximum in Hall mobility observed at the onset of crystallinity
has several plausible contributing factors. The minimum in the first
shell (In–O) and the second shell (In–In) bond distances
coincides with the maximum in mobility and can be a contributing factor
to a small effective mass. Significant reduction of the edge-shared
In–In coordination (from 6 to 2) is associated with a wide
distribution of the corner-shared In–In distances and the corresponding
In–O–In bond angles that determine the interconnection
of the InO polyhedra. Large In–O–In
bond angles facilitate a higher symmetry p orbital on the shared oxygen
atom leading to a better overlap with the s states of In atoms. A
more significant factor that results from the increase in the In–O–In
bond angle, however, is a transition from disconnected InO clusters to extended connected chains of InO polyhedra that can form long conductivity
paths. The in-depth understanding of the structural characteristics
opens up a route to attain optimal properties in technologically viable
amorphous oxide semiconductors.
Authors: Maciej Moździerz; Konrad Świerczek; Juliusz Dąbrowa; Marta Gajewska; Anna Hanc; Zhenhe Feng; Jakub Cieślak; Mariola Kądziołka-Gaweł; Justyna Płotek; Mateusz Marzec; Andrzej Kulka Journal: ACS Appl Mater Interfaces Date: 2022-09-12 Impact factor: 10.383
Authors: Yuchan Dong; Kulbir Kaur Ghuman; Radian Popescu; Paul N Duchesne; Wenjie Zhou; Joel Y Y Loh; Abdinoor A Jelle; Jia Jia; Di Wang; Xiaoke Mu; Christian Kübel; Lu Wang; Le He; Mireille Ghoussoub; Qiang Wang; Thomas E Wood; Laura M Reyes; Peng Zhang; Nazir P Kherani; Chandra Veer Singh; Geoffrey A Ozin Journal: Adv Sci (Weinh) Date: 2018-03-12 Impact factor: 16.806