Inger-Emma Nylund1, Nora Statle Løndal1, Julian Walker1, Per Erik Vullum2,3, Mari-Ann Einarsrud1, Tor Grande1. 1. Department of Materials Science and Engineering, NTNU Norwegian University of Science and Technology, 7491 Trondheim, Norway. 2. Department of Physics, NTNU Norwegian University of Science and Technology, 7491 Trondheim, Norway. 3. SINTEF Industry, NO-7034 Trondheim, Norway.
Abstract
The crystal structure of tetragonal tungsten bronzes, with the general formula A12A24C4B12B28O30, is flexible both from a chemical and structural viewpoint, resulting in a multitude of compositions. The A1 and A2 lattice sites, with different coordination environments, are usually regarded to be occupied by two different cations such as in Ba4Na2Nb10O30 with Na+ and Ba2+ occupying the A1 and A2 sites, respectively. Here, we report on a systematic study of the lattice site occupancy on the A1 and A2 sites in the series Ba4M2Nb10O30 (M = Na, K, and Rb). The three compounds were synthesized by a two-step solid-state method. The site occupancy on the A1 and A2 sites were investigated by a combination of Rietveld refinement of X-ray diffraction patterns and scanning transmission electron microscopy with simultaneous energy-dispersive spectroscopy. The two methods demonstrated consistent site occupancy of the cations on the A1 and A2 sites, rationalized by the variation in the size of the alkali cations. The cation order-disorder phenomenology in the tungsten bronzes reported is discussed using a thermodynamic model of O'Neill and Navrotsky, originally developed for cation interchange in spinels.
The crystal structure of tetragonal tungsten bronzes, with the general formula A12A24C4B12B28O30, is flexible both from a chemical and structural viewpoint, resulting in a multitude of compositions. The A1 and A2 lattice sites, with different coordination environments, are usually regarded to be occupied by two different cations such as in Ba4Na2Nb10O30 with Na+ and Ba2+ occupying the A1 and A2 sites, respectively. Here, we report on a systematic study of the lattice site occupancy on the A1 and A2 sites in the series Ba4M2Nb10O30 (M = Na, K, and Rb). The three compounds were synthesized by a two-step solid-state method. The site occupancy on the A1 and A2 sites were investigated by a combination of Rietveld refinement of X-ray diffraction patterns and scanning transmission electron microscopy with simultaneous energy-dispersive spectroscopy. The two methods demonstrated consistent site occupancy of the cations on the A1 and A2 sites, rationalized by the variation in the size of the alkali cations. The cation order-disorder phenomenology in the tungsten bronzes reported is discussed using a thermodynamic model of O'Neill and Navrotsky, originally developed for cation interchange in spinels.
Ferroelectric tetragonal tungsten bronzes
(TTBs) are the second
largest group of ferroelectric oxide materials after the perovskites.[1] The TTB crystal structure resembles the perovskite
structure as it consists of corner-sharing BO6 octahedra;
however, the unit cell of the prototypical TTB is approximately 10
times larger than the unit cell of the perovskite. The BO6 octahedra in the TTB structure are connected such that four triangular,
two square, and four pentagonal channels are present in each unit
cell viewed along the c-axis. The square site has
a coordination number (CN) of 12 and is denoted as A1, and the pentagonal
site has CN = 15 and is denoted as A2. In a filled TTB, the triangular
channels are empty, whereas the square and pentagonal channels are
fully occupied, and the general formula can be written as A24A12B10O30.[2] The different cation lattice sites open up for a rich chemistry
of the TTBs, and a large family of ferroelectric materials has been
reported, including relaxor ferroelectrics.[3]The cations with the larger ionic radius are expected to occupy
the larger lattice sites in the crystal structure, hence the largest
A-cation will preferentially occupy the A2 site in the TTB structure.
For example, in an early work on the TTB compound Ba4Na2Nb10O30 (BNN) it was explicitly stated
that the larger Ba2+ cation occupies the A2 sites, whereas
the smaller Na+ cation occupies the A1 sites.[4] More recently, a Rietveld refinement of X-ray
diffraction (XRD) data on BNN demonstrated that configurational cation
disorder is present, such that there is significant intermixing of
Ba and Na between the A1 and A2 sites, which was further supported
by density functional theory (DFT) calculations.[5] In the related compounds Ba4K2Nb10O30 (BKN) and Ba4Rb2Nb10O30 (BRN), pronounced cation disorder is anticipated
due to the more similar size of the cations, but a high degree of
ordering of these compounds was inferred by the ratio of the unit cells.[6] The energetics of cation disorder in TTBs has recently
been investigated by DFT in combination with thermodynamic models
for cation disorder.[7] The thermodynamic
model used was adapted by a model developed to describe the more known
cation disorder in spinels (AB2O4).[8]Cation disorder in TTBs has so far to a
large degree been neglected,
but it has recently been demonstrated that cation disorder takes place
in TTBs and may also affect functional properties such as the Curie
temperature.[9,10] In this study, we report the
first systematic study of cation disorder in TTBs by changing the
cation sizes in the series of compounds BNN, BKN, and BRN. Powder
XRD and scanning transmission electron microscopy with simultaneous
energy-dispersive spectroscopy (STEM–EDS) were performed to
evaluate the degree of cation disorder. We demonstrate that the observed
degree of disorder on the A1 and A2 cation sites in these three compounds
can be rationalized by the variation in the size of the alkali cations.
Experimental Section
BMN (M = Na, K, or Rb) ceramics
were synthesized using BaCO3 (99+ %, ThermoFisher), Nb2O5 (>99.99%),
and either Na2CO3 (≥99.0%), K2CO3 (≥99.0%), or Rb2CO3 (99%),
respectively, as precursors (Sigma-Aldrich). To avoid extensive loss
of the volatile alkali cations during processing at high temperature,
powders of NaNbO3, KNbO3, and RbNbO3 were first prepared by mixing the appropriate precursors in ethanol
by ball milling. The precursor mixtures were dried, uniaxially pressed
to pellets at approximately 30 MPa, and calcined first at 700 °C
for 4 h before further calcination at 900 °C for 12 h. BaNb2O6 was prepared by a similar procedure with calcination
at 1100 °C for 6 h. BNN was prepared by mixing NaNbO3 with BaNb2O6 in ethanol by ball milling, dried,
pressed to pellets at approximately 70 MPa, and sintered at 1285 °C
for 6 h with a heating rate of 200 °C/h. To avoid loss of alkali
oxide during sintering, the pellets were covered by sacrificial powder
of the same composition. The two other tungsten bronzes were prepared
by the same procedure, with adjusted sintering parameters, BKN (1275
°C, 6 h, 300 °C/h) and BRN (1150 °C, 2 h, 200 °C/h).Approximately 100 μm of surface was polished off the sintered
pellets to remove possible secondary phases formed at the surface
due to the known volatility of the alkali oxides. Powders were prepared
by crushing and hand grinding in a carbide mortar. To prepare TEM
specimens, the fine powders were dispersed in ethanol or isopropanol
and dropped onto a Cu grid covered with holey amorphous carbon film.Powder XRD patterns of BNN, BKN, and BRN were measured with a Bruker
DaVinci1 diffractometer with Cu Kα radiation, and Rietveld refinement
of the diffraction patterns were performed for all three powders.
The BNN data were refined using a Cmm2[5] structure model and all symmetry inequivalent
ion positions were refined. For BKN and BRN, a P4bm structure[10,11] was used in the refinement and
symmetry inequivalent ion positions for Ba, M, and Nb were refined,
whereas all the O-positions were not refined and kept constant to
the initial value. The stoichiometrically constricted occupancies
for Ba and M were refined, as described in Table S1 in Supporting Information. The atomic displacement
parameters (Beq) used in the refinements
were taken from the combined X-ray and neutron diffraction study by
Olsen et al.[12] for all three compounds
and were kept constant throughout the refinements. A fundamental parameter
model described the peak shape, and the background was described by
a Chebyshev polynomial of minimal degree.Simultaneous STEM
and EDS (STEM–EDS) was performed using
a coldFEG Jeol ARM200F aberration-corrected microscope equipped with
a Centurio SDD EDS detector (nominal solid angle, 0.98 sr). The microscope
was operated at 200 kV with a beam semi-convergence angle of 27.4
mrad. High-angle annular dark-field–STEM (HAADF–STEM)
images were acquired with collection angles of 51–203 mrad,
and the probe current was about 120 pA. HAADF–STEM images and
spectral images were acquired simultaneously by scanning 256 ×
256 pixels, with a step size of 0.3 Å. To avoid beam damage,
the pixel scan time was 0.001 s, resulting in a frame time of only
1 min 6 s. For each specimen, however, multiple spectral images were
acquired at a few different areas within approximately 20 nm and superimposed
by SmartAlign.[13] In SmartAlign, image alignment
and scan distortion compensation were performed on the HAADF–STEM
images and the corrections were transferred to the spectral images.
The fast-scan direction differed by 5–10° compared to
a major crystallographic axis to maximize the precision of the SmartAlign
procedure. Due to the corrections performed by SmartAlign, the resulting
spectral images are cropped compared to the originally acquired images.
For all the three specimens, 60 spectral images were acquired over
a time span of about 2 h. However, 12, 16, and 21 frames were discarded
for BNN, BKN, and BRN, respectively, due to severe distortions appearing
during scanning. Focus and astigmatism were adjusted between each
frame, when needed, and the beam was blanked to avoid irradiating
the sample while the data was saved (which took approximately 20 s
for each frame). The spectral images were then analyzed using the
HyperSpy v1.5.2[14] and Atomap v0.1.4[15] packages in Python. Quantification was done
using the Cliff–Lorimer (CL)[16] quantification
procedure with k-factors taken from the EDS software
in DigitalMicrograph. The BaLα, MKα, NbKα, and OKα peaks were used
for quantification. Spectra acquired at each A1 and A2 sublattice
were summed up to ensure enough intensity for the quantification procedure.
For all specimens, it was assumed that Ba and M made up 100% of the
concentration at the A1 and A2 sites. Further details on the analysis
are presented in the Supporting Information.
Results
XRD patterns of BNN, BKN, and BRN are shown
in Figure together
with the Rietveld
refinement of the diffraction data. The parameters determined by the
Rietveld refinements are summarized in Tables S2–S4 in Supporting Information. BNN and BKN were phase
pure, whereas minor traces of the secondary phase Rb4Nb6O17·3H2O was identified in BRN.
The only visible reflection of this secondary phase is marked with
an asterisk in Figure c. The refined occupancies for Ba and M on the A1 and A2 sites, respectively,
for each of the three compounds are summarized in Table .
Figure 1
Rietveld refinement of
powder XRD patterns of (a) BNN using the Cmm2 structure,
and of (b) BKN and (c) BRN using the P4bm structure. In BRN, minor traces of
the secondary phase Rb4Nb6O17·3H2O is present and marked with * at ∼ 9° 2θ.
Table 1
Occupancy of Ba and the Respective
Alkali Metal at the A1 and A2 Sites in BNN, BKN, and BRN Obtained
by Rietveld Refinements and STEM–EDS Measurements
compound
site
atom
occupancy (XRD)
occupancy (STEM–EDS)
BNN
A2
Ba
0.9398(18)
0.8(2)
Na
0.0602(18)
0.2(2)
A1
Na
0.880(4)
0.6(2)
Ba
0.120(4)
0.4(2)
BKN
A2
Ba
0.7525(19)
0.7(1)
K
0.2475(19)
0.3(1)
A1
K
0.505(4)
0.4(1)
Ba
0.495(4)
0.6(1)
BRN
A2
Ba
0.570(4)
0.6(1)
Rb
0.430(4)
0.4(1)
A1
Rb
0.141(7)
0.2(1)
Ba
0.859(7)
0.8(1)
Rietveld refinement of
powder XRD patterns of (a) BNN using the Cmm2 structure,
and of (b) BKN and (c) BRN using the P4bm structure. In BRN, minor traces of
the secondary phase Rb4Nb6O17·3H2O is present and marked with * at ∼ 9° 2θ.The total EDS signal in the spectral images for the
three compounds
were summed up to one spectrum, respectively, which is shown in Figure
S1 in Supporting Information. The total
composition of the three compounds calculated from the CL quantification
based on the summed spectra is presented in Table , together with the concentrations corresponding
to the stoichiometric compounds. The calculated ratio between Ba and
M is also presented in Table .
Table 2
Calculated Chemical Composition of
BNN, BKN, and BRN from the CL Quantification of the Summed Spectra
Acquired by STEM–EDS Together with Concentrations Corresponding
to the Stoichiometric Compounds
compound
Ba [at %]
M [at %]
Nb [at %]
O [at %]
Ba/M
theoretical
8.7
4.4
21.7
65.2
2
BNN (M = Na)
8.0
2.8
21.1
68.1
2.9
BKN (M = K)
11.0
4.1
27.7
57.2
2.7
BRN (M = Rb)
14.6
5.6
38.9
40.8
2.6
A schematic overview of the TTB structure is displayed
in Figure . One unit
cell of
the prototype TTB is shown in Figure a, where the A1 and A2 sites are indicated. Figure b provides an overview
of six unit cells viewed along the c-axis, where
the thin black square shows the size of one unit cell. Only the cations
are shown, as only the cations result in a sufficient contrast in
the HAADF–STEM images.
Figure 2
Schematic of the TTB structure. (a) One unit
cell of the TTB structure
where the square A1 and pentagonal A2 sites are indicated. (b) Six
unit cells of the TTB structure viewed along the c-axis where the A1, A2, and Nb sites are shown to demonstrate how
the structure appears in the HAADF–STEM image. The figure in
(b) is made using Vesta.[17]
Schematic of the TTB structure. (a) One unit
cell of the TTB structure
where the square A1 and pentagonal A2 sites are indicated. (b) Six
unit cells of the TTB structure viewed along the c-axis where the A1, A2, and Nb sites are shown to demonstrate how
the structure appears in the HAADF–STEM image. The figure in
(b) is made using Vesta.[17]To get an overview of the degree of cation intermixing
for the
different compounds, pixel-by-pixel CL quantification was performed
on the spectral images as presented in Figure . Each column in the figure shows the data
from each compound, respectively, starting with BNN in the left column,
BKN in the middle, and lastly BRN in the right column. The first row
(Figure a,e,i) shows
the HAADF–STEM images processed using SmartAlign, the second
row (Figure b,f,j)
displays the calculated at % of M = Na, K, and Rb, respectively, the
third row (Figure c,g,k) shows the Ba concentration for each compound, and finally
the fourth row (Figure d,h,l) gives the Nb concentration.
Figure 3
HAADF–STEM images and compositional
maps for BNN (a–d),
BKN (e–h), and BRN (i–l), viewed along the c-axis. An atomic sublattice is shown below each map indicating the
main site for each element. In BNN, (b) Na occupies mainly the A1
site and (c) Ba mainly occupies the A2 site. In RBN, (j) Rb shows
the highest concentration at the A2 site, whereas the concentration
of (k) Ba is highest at the A1 site. BKN shows an intermediate intermixing
compared to BNN and BRN. The distance between the Nb columns is much
shorter than the distance between the A1 and A2 columns, respectively,
thus the individual atomic columns are not as distinct in the Nb maps.
The white square in each elemental map corresponds to the black square
in the atomic sublattice below. Scale bars = 1 nm.
HAADF–STEM images and compositional
maps for BNN (a–d),
BKN (e–h), and BRN (i–l), viewed along the c-axis. An atomic sublattice is shown below each map indicating the
main site for each element. In BNN, (b) Na occupies mainly the A1
site and (c) Ba mainly occupies the A2 site. In RBN, (j) Rb shows
the highest concentration at the A2 site, whereas the concentration
of (k) Ba is highest at the A1 site. BKN shows an intermediate intermixing
compared to BNN and BRN. The distance between the Nb columns is much
shorter than the distance between the A1 and A2 columns, respectively,
thus the individual atomic columns are not as distinct in the Nb maps.
The white square in each elemental map corresponds to the black square
in the atomic sublattice below. Scale bars = 1 nm.Various sublattices of the crystal structure displayed
in Figure b are repeated
in Figure to illustrate
the
lattice sites which have the highest concentration of the different
elements. A clear difference can be seen between BNN and BRN. Looking
first at the Ba concentration in the two materials, Figure c demonstrates that Ba is mainly
found on the A2 site in BNN, whereas the concentration of Ba is higher
on the A1 site in BRN as seen in Figure k. Figure k also demonstrates that there is presence of a lower
concentration of Ba at the A2 sites in BRN. Regarding the Na concentration
in BNN (Figure b)
and Rb concentration in BRN (Figure j), the concentration maps evidence an increased concentration
of Na at the A1 site, whereas Rb is mainly found on the A2 site. Ba
and K can be seen to occupy both the A1 and A2 sites in BKN, although
it appears as K can be found at a higher concentration on the A1 site
(Figure f), whereas
Ba is found at a higher concentration at the A2 site (Figure g). The Nb concentration maps
are shown for all three compounds for completion. Because the distance
between each Nb column is smaller than the distances between the Ba
columns and the M columns, single columns are not as easily distinguished
for Nb as for the other elements.The concentration maps in Figure are somewhat noisy,
thus it was desirable to sum up
all the EDS spectra at the A1 sites and the A2 sites, respectively.
Atomap [14] was utilized to determine the (x,y) positions of the different sites from the HAADF–STEM
images. Because the HAADF–STEM images and spectral images were
acquired simultaneously and treated with the same corrections by the
SmartAlign algorithm, the (x,y)
positions in the HAADF–STEM images coincide with the (x,y) positions in the spectral images.
Hence, the EDS spectra at the A1 sites and the A2 sites could be summed
up, separately, resulting in one sum spectrum for the A1 site and
one spectrum for the A2 site for each compound. The concentrations
of M and Ba at the A1 and A2 sites were calculated for the three compounds,
and the occupancies at each site are presented in Table together with the occupancies
from the Rietveld refinement. The STEM–EDS results are presented
as average values which are calculated based on the concentrations
measured at the A1 and A2 sites for the different compounds. The error
in occupancy from EDS is defined as the difference between the measured
and average values (see Supporting Information Tables S5 and S6 for details on the quantification). Based on the
data presented in Table , the occupancy of alkali metal on the A1 site is plotted against
their respective Shannon ionic radius[18] in Figure , where
it is demonstrated that the occupancy of the alkali metal on the A1
site decreases with increasing ionic radius of the alkali metal cation.
Figure 4
Occupancy
of alkali metals on the A1 site, x,
plotted against their respective Shannon ion radii. Data from both
Rietveld refinement (XRD) and STEM–EDS are shown, where the
error of the XRD data is too small for the error bar to be visible.
The stippled line shows a linear fit from the XRD data with r2 = 0.92.
Occupancy
of alkali metals on the A1 site, x,
plotted against their respective Shannon ion radii. Data from both
Rietveld refinement (XRD) and STEM–EDS are shown, where the
error of the XRD data is too small for the error bar to be visible.
The stippled line shows a linear fit from the XRD data with r2 = 0.92.
Discussion
The Rietveld refinement of the X-ray diffractograms
and the STEM–EDS
analysis demonstrated a consistent degree of cation intermixing in
the three compounds. The smaller the alkali metal is, the more likely
it is to occupy the smaller A1 site (compared to the larger A2 site).
The data from the STEM–EDS suffer from larger errors compared
to the values obtained from Rietveld refinement, and in addition,
the Na content on the A1 site is underestimated by STEM–EDS
compared to XRD. There could be several reasons for this. The use
of k-factors calculated from first principles (i.e.,
the k-factors taken directly from a software) is
known to produce systematic errors up to 10–20%.[19−22] In addition, another issue with the k-factor quantification
procedure is that it does not account for X-ray absorption, which
is particularly important for low energy X-rays, such as OKα(0.525 keV) and NaKα (1.040 keV).[22] When performing site-specific quantification, it was assumed
that the sum of Ba and M corresponds to 100%. Therefore, stronger
absorption of the lower energy NaKα compared to BaLα (4.466 keV), in STEM–EDS, may have caused the
underestimation of the Na concentration. A more detailed discussion
of the possible sources of errors regarding the EDS quantification
is presented in the Supporting Information, together with comments on the issues related to channeling effects
and quantification using atomically resolved EDS data.[23,24] As displayed in Table and Figure , the
calculated error from the Rietveld refinement is small.The ionic radii of the A-cations in the three compounds
are presented
in Table . The radius
of Ba2+ is significantly larger than Na+, smaller
than Rb+, and close to the same size as K+.
With increasing size follows a larger occupancy of M at the A2 sites
and a simultaneous decrease of M at the A1 site, as shown in Table . Thus, there is an
apparent relation between the cation size and the distribution of
cations on the two lattice sites.
Table 3
Shannon Ion Radii of the Cations Present
in BNN, BKN, and BRN,[18] and the Size Difference
between Ba and the Alkali Metals ΔR
ion
ionic radius [Å]
coordination
ΔR [Å]
Na+
1.39
12
+0.22
K+
1.64
12
–0.03
Rb+
1.72
12
–0.11
Ba2+
1.61
12
Schmalzried[25] proposed
that the degree
of cation disorder in the spinel crystal structure can be treated
as a chemical equilibrium. Olsen et al. introduced the same concept
for cation disorder in TTBs with five divalent cations and a cation
vacancy.[7] For the filled TTBs studied here,
the equilibrium can be written aswhere x is introduced as
a distribution parameter, which ranges from 0 to 1. It is important
to note that x does not scale linearly with disorder,
it merely describes the distribution of cations between the different
sites. In the case where x = 1, the structure is
ordered, with only M occupying A1 and only Ba occupying A2, as described
on the left side of (1). On the other hand,
when x = 0, partial order is obtained because only
Ba occupies A1, and equal amounts of Ba and M occupy A2,[26] as described by the chemical formula in (2)The Gibbs free energy change ΔG for the
chemical equilibrium presented in (1) can be
stated aswhere ΔH is the enthalpy
change for the reaction, T is the temperature, and
ΔS is the change in entropy, which is assumed
to be mainly dependent on the distribution of the different cations
at the different A sites (configurational entropy). This assumption
has been shown to be valid for spinels,[8] and the configurational entropy model has also been introduced for
TTBs.[7] We propose that ΔH depends on the relative size difference ΔR = RBa – RM between the ionic radii of Ba and M. Considering first the
situation at T = 0 K, the reaction is driven only
by the enthalpic term, such that when ΔR >
0 the system is ordered (x = 1) and when ΔR < 0 the system is partially ordered (x = 0). If ΔR = 0, the system is completely
disordered. At elevated temperatures, the entropy contribution must
be considered. The entropy change of the cation interaction, ΔSint, in reaction can be expressed aswhich is the purely configurational entropy
of mixing for an ideal solution, where x is the fractional occupancy of
species i on site s, and bS is the multiplicity of site s, leaving all other effects, such as
volume and non-configurational entropy, neglected. Differentiation
of the entropy (shown in eq S1 in Supporting Information) shows that the maximal configurational entropy is obtained for x ≈ 0.4.The size differences ΔR for the materials
studied here are presented in Table . The data presented in Table demonstrate that BNN is close to being in
an ordered state with x close to 0.9 and that BRN
with x close to 0.1 is proximate to the partially
ordered state. This is in line with our proposed relation between
ΔR and ΔH, where ΔR is positive for BNN and negative for BRN. For BKN, x is close to 0.5 which, in contrast to the two other compounds,
is much closer to the disordered state. This demonstrates that the
dependency of the contribution of ΔH increases
with increasing |ΔR|, meaning that a larger
size difference between the two cations occupying the A sites drives
the system toward a more ordered or partially ordered state. It is
the stoichiometry of the structure that causes the system to become
partially ordered in situations where M is larger than Ba. In line
with the nomenclature used for spinels, we propose to call this cation
order, presented in the chemical formula in (2), a perfectly inverse filled TTB.[8]Disorder is well known in spinels, where, in spinels containing
divalent and trivalent cations, there is a tendency for the larger
ion to prefer the tetrahedral site, whereas the reverse holds for
spinels containing divalent and four-valent cations, meaning that
the oxidation state of the cations can affect the cation distribution.[8] Crystal field stabilization energy might also
determine occupation site distribution in these materials. Gardner
and Morrison investigated the series Ba4RE0.67Nb10O30 (RE = La, Nd, Sm, Gd, Dy, and Y),[27] where the most improved and stable Rietveld
refinements of diffraction data were obtained when Ba was kept at
the A2 site and the A1 sites were partially occupied by the RE and
cation vacancies to achieve the nominal stoichiometry. This study
demonstrated that the trivalent rare-earth cations occupied the smaller
A1 site, due to their smaller ionic radius compared to Ba2+, evidencing that size difference is an important parameter determining
the distribution and that it does not appear that the different cation
valency affects the cation disorder in this case.The cation
occupancy observed in this study is not only determined
by the thermodynamics rationalized by the ionic size. The kinetics
of the cation intermixing between the A1 and A2 sites will also play
a role.[7,10]Equation shows that the cation disorder is temperature dependent
and that the entropy term will favor disorder with increasing temperature.
Equilibrium is obtained at the sintering temperature when preparing
the material, but during cooling the cation distributions on the A1
and A2 sites are frozen in due to rapid slowdown of the self-diffusion
of cations between the two sites. Based on the literature,[9,10] the cation distribution we observed corresponds to an entropic state
frozen in at temperatures above ∼1000 K.The phenomenology
of cation disorder in oxides has mainly been
studied in detail in spinels, whereas cation disorder in TTBs has
to a large degree been neglected in the literature. The systematic
investigation of the site occupancy reported here has demonstrated
that cation disorder also is a phenomenon taking place in TTBs. The
cation disorder can be tailored by chemistry and by the thermal history
of the materials.[10] Cation disorder on
A1 and A2 sites has also been shown to influence the electrical properties,[9,10] which is interesting from an application point of view. For example,
the relaxor behavior of TTBs can possibly be tailored by the cation
disorder.
Conclusions
BNN, BKN, and BRN were successfully synthesized
by a two-step solid-state
method. BNN and BKN were phase pure, whereas a minor secondary phase
was present in BRN. A consistent distribution of cations on the A1
and A2 sites in the TTB crystal lattice was demonstrated both by Rietveld
refinement and STEM–EDS, confirming that the cations are distributed
such that larger cations preferentially occupy the larger A2 sites.
The present findings demonstrate that the cation intermixing is an
important phenomenon in TTBs. The cation order–disorder phenomenology
was discussed based on a thermodynamic model developed by O’Neill
and Navrotsky, originally formulated for cation interchange in spinels.
Authors: Katherine E MacArthur; Thomas J A Slater; Sarah J Haigh; Dogan Ozkaya; Peter D Nellist; Sergio Lozano-Perez Journal: Microsc Microanal Date: 2016-01-12 Impact factor: 4.127
Authors: Katherine E MacArthur; Andrew B Yankovich; Armand Béché; Martina Luysberg; Hamish G Brown; Scott D Findlay; Marc Heggen; Leslie J Allen Journal: Microsc Microanal Date: 2021-04-12 Impact factor: 4.127