research papers
A new electron diffraction approach for structure 3Mn2O7
applied to CaaDepartment of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom, bInstitute of Physics, Academy of Sciences of the Czech Republic, Na Slovance 2, 182 21 Prague 8, Czech Republic, and cMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA
*Correspondence e-mail: r.beanland@warwick.ac.uk
The digital large-angle convergent-beam electron diffraction (D-LACBED) technique is applied to Ca3Mn2O7 for a range of temperatures. Bloch-wave simulations are used to examine the effects that changes in different parameters have on the intensity in D-LACBED patterns, and atomic coordinates, thermal atomic displacement parameters and apparent occupancy are refined to achieve a good fit between simulation and experiment. The sensitivity of the technique to subtle changes in structure is demonstrated. Refined structures are in good agreement with previous determinations of Ca3Mn2O7 and show the decay of anti-phase oxygen octahedral tilts perpendicular to the c axis of the A21am with increasing temperature, as well as the robustness of oxygen octahedral tilts about the c axis up to ∼400°C. The technique samples only the zero-order Laue zone and is therefore insensitive to atom displacements along the electron-beam direction. For this reason it is not possible to distinguish between in-phase and anti-phase oxygen octahedral tilting about the c axis using the [110] data collected in this study.
Keywords: digital diffraction; electron diffraction; Ca3Mn2O7; CBED; LACBED.
1. Introduction
Convergent-beam electron diffraction (CBED) has a long history of application to symmetry determination (Buxton et al., 1976) and the accurate measurement of individual structure factors (Spence et al., 1989; Zuo, 1998; Zuo & Spence, 2017). However, despite its demonstrated sensitivity to many interesting and useful parameters, it is rarely used for structural (Ogata et al., 2004). Recently, we have demonstrated that atomic coordinates can be extracted from `digital' large-angle convergent-beam electron diffraction (D-LACBED) patterns (Beanland et al., 2013) with sub-picometre precision and accuracy using Al2O3 as a model material (Hubert et al., 2019). A similar data-collection approach was also developed by Koch with an additional post-specimen de-scan, known as LARBED (Koch, 2011). D-LACBED patterns, formed by combining hundreds or thousands of CBED patterns each with a slightly different incident-beam orientation, have the advantage of a much larger angular range and many more data points than conventional CBED. They also can be obtained from a region the size of the convergent beam and a single measurement accesses many diffracted beams, unlike conventional LACBED (Tanaka et al., 1980). The crucial advantage that accrues from collection of large data sets from a single crystal using electron diffraction is that sufficient data are obtained to allow both structure solution and with high accuracy. New data-collection regimes, mainly using hundreds of selected-area or nanobeam spot diffraction patterns obtained while rotating a crystal over a large angle, have now established electron diffraction as a powerful technique for solution (Wolff et al., 2020; Gemmi et al., 2019) and to sub-picometre precision (Palatinus et al., 2015a,b). Here, we investigate large data sets obtained from a single specimen orientation. The interference between different Bloch waves as they propagate through a crystalline specimen produces regions in D-LACBED patterns that are particularly sensitive to small changes in phase and give a unique fingerprint for different parameters. We apply the D-LACBED technique to the Ruddlesden–Popper phase Ca3Mn2O7, which has attracted interest as a multiferroic (Benedek & Fennie, 2011; Fawcett et al., 1998) with the emergence of ferroelectric–ferromagnetic coupling occurring through the coupling of two non-polar modes with different symmetries. This effect has become known as hybrid improper ferroelectricity (Benedek & Fennie, 2011) and is currently being studied in a variety of related materials (Senn et al., 2015; Bansal et al., 2019; Xu et al., 2019; Chen et al., 2020).
Ruddlesden–Popper phases in general have the formula An+1BnO3n+1 and a structure that consists of a rocksalt AO bilayer every n ABO3 perovskite unit cells along [001]. In Ca3Mn2O7 n = 2 and the oxygen atoms form corner-sharing MnO6 octahedra. The prototype (undistorted) structure has I4/mmm (No. 139) at high temperature. Just as in ABO3 perovskites, these octahedra can tilt and distort, here lowering the symmetry from the prototype structure and giving rise to macroscopic ferroic behaviour. An orthorhombic structure for La2−2xCa1+2xMn2O7 (0.8 < x < 1) with Cmc21 (No. 36) or Ama2 (No. 40) was proposed by Bendersky et al. based on a (TEM) and electron diffraction study (Bendersky et al., 2001, 2003). Guiblin et al. (2002) then performed structural at room temperature (RT) using single-crystal X-ray diffraction, only finding an acceptable fit for Cmc21. They used the alternative (non-standard) setting A21am, which allows the long axis of the to always be the c axis, although there is a ∼45° difference in the a and b axes between I4/mmm and A21am due to a doubling of periodicity caused by the oxygen octahedral tilting. We use the same setting here, i.e. perform refinements in the A21am. A similar structural determination was obtained by Lobanov et al. (2004) using powder neutron diffraction, which also gave magnetic data, although a minority additional phase was detected at RT, using very high resolution X-ray measurements, that was assigned to be I4/mmm. The A21am RT structure is shown in Figs. 1(a)–1(d). The oxygen octahedra are both anti-phase tilted about the [110] axis and in-phase twisted about the [001] axis, corresponding to the and X2+ irreducible representations (irreps), respectively (Benedek & Fennie, 2011). At intermediate temperatures, the evolution of distortion is more complicated. While the X2+ and distortions may be coupled at RT, it is less clear that they should have the same behaviour as a function of temperature. In fact, as the material is heated the disappearance of one or other of the distortions before a final transition to the prototype structure might seem inevitable. If the X2+ distortion disappears leaving only the anti-phase octahedral tilt about [110] [Fig. 1(f)], the structure has Amam (No. 63). Conversely, the presence of an X2+ distortion without [Fig. 1(e)] produces an Aeam (No. 64) structure (Senn et al., 2015).
However, the study by Senn et al., which examined both Ca3Mn2O7 and Ca3Ti2O7 as a function of temperature using high-resolution X-ray and neutron powder diffraction, gave the unexpected result that Aeaa (No. 68) was in fact the best-fit structure to Ca3Mn2O7 at 500 K (227°C). This is surprising because the Aeaa corresponds to an irrep, with anti-phase tilting along the c axis. Although Aeaa is also a of the I4/mmm prototype, it is not an intermediate between A21am and I4/mmm, and can only be in competition with the Aeam or Amam structures. The transition from A21am to Aeaa must be of first order, either with or without passing through an intermediate Aeam or Amam phase. Their data indicated a coexistence of A21am and Aeaa structures between 200 and 320 K, with single-phase A21am below 200 K (−73°C) and pure Aeaa above 320 K (∼50°C). This proposal was given further credence by an observed contraction of the c axis with increasing temperature, consistent with a `trapped' soft phonon mode that can only occur in the Aeaa structure, and explained the additional RT phase detected by Lobanov et al. (2004).
Here we consider the question of whether electron diffraction – specifically, D-LACBED – has the accuracy and precision required to provide a 3Mn2O7. As noted by Senn et al., the A21am structure requires 19 free parameters to describe the fractional atomic coordinates of the seven atoms that make up the basis (the contains 48 atoms in total). In addition, each atom in the basis has an occupancy and thermal atomic displacement parameters and there are the three lattice parameters of the orthorhombic We use the term `structural parameter' for all of these variables in what follows. Finally, for electron diffraction four parameters that relate to experiment, rather than the material being examined, also need to be determined – the crystal thickness, the accelerating voltage of the microscope, the angular range covered in the patterns and the point spread function of the camera. Considering only isotropic thermal atomic displacement parameters, this makes 40 parameters in total that could in principle be refined by best match of simulation to experiment for the A21am structure. For the I4/mmm structure, the basis consists of six atoms with only four free parameters describing atomic coordinates, giving 18 structural parameters. While it is obvious that a typical D-LACBED data set, containing >107 pixels, should have sufficient information to refine this comparatively small number of unknown values, whether this is possible in practice is less clear. Furthermore, it is possible that uncontrolled parameters or effects – such as distortions in the experimental patterns, the use of an independent atom model (IAM) for Bloch-wave simulations (Kirkland, 2010), the lack of any energy filtering or unsophisticated background subtraction – may compromise the measurement and make it unreliable. Finally one must consider the utility of the experiment and the relative difficulty in comparison with X-ray or neutron diffraction: does the D-LACBED method produce information that is different or more easily obtained than that from well established methods?
of the structure of Ca2. Experiment
Ca3Mn2O7 ceramics were synthesized by solid-state reaction using mechanochemical activation before CaCO3 and MnO2 powders (Sigma–Aldrich, 99% purity) were mixed in stoichiometric ratio, then milled intensively in a Fritsch Pulverisette 7 planetary ball micromill for 135 min in a dry environment followed by 23 min in suspension with n-heptane. ZrO2 grinding bowls (25 ml) and balls (12 mm diameter, acceleration 14g) were used. The suspension was dried under an infrared lamp and the dried powder was pressed in a uniaxial press (330 MPa, 3 min) into pellets of diameter 13 mm. The pellets were calcined for 24 h at 1200°C in pure O2 to prevent the reduction of Mn4+, then milled and pressed by the same procedure as above and sintered at 1300°C for 24 h in pure O2. The composition of calcined pellets from X-ray diffraction (XRD) was 97% of Ca3Mn2O7 and 3% of Ca2MnO4. Traces of Ca2MnO4 were also observed in sintered pellets. The pellets were then ground and flattened using a dimpler before being ion milled to electron transparency using Ar+ ions at 6 kV. The resulting specimens were examined in a standard JEOL 2100 LaB6 transmission electron microscope operating at 200 kV.
RT in our TEM setup was measured as 29°C. D-LACBED data were constructed from 3721 CBED patterns using an incident-beam convergence semi-angle of 0.56 mrad and a probe size of approximately 8 nm full width at half-maximum (FWHM) on the specimen. A Ca3Mn2O7 crystal was aligned to the [110] A21am Patterns were imaged using a Gatan Orius SC600 camera with binning 4. An angular raster of 61 × 61 incident-beam orientations at a rate of approximately 10 patterns s−1 covered an angular range of 35 mrad. Data were collected from roughly the same area at nominal temperatures of 100, 200, 300 and 400°C with heating provided by a Gatan 652 double-tilt heating holder. Due to the distance between the electron-transparent area and the heating element, actual temperatures are likely to be slightly lower than nominal ones. Irreversible changes were observed in the specimen at nominal temperatures of 500°C and higher, presumably due to loss of oxygen; these results were discarded as being unreliable. For temperatures above 100°C only 2601 (51 × 51) CBED patterns were collected covering 29.3 mrad, since the sample was slightly less stable and subject to drift of more than a few nanometres. Diffuse background was subtracted from the CBED discs by 2D cubic spline interpolation. Patterns were rotated to give h00 horizontal using bicubic interpolation and cropped to 400 × 400 pixels, reducing the angular range to 20 mrad. Where symmetry was evident, averaging was used to improve the signal-to-noise ratio (i.e. taking the mean of equivalent patterns, sub-pixel aligned using cross-correlation) and symmetry was also used to correct linear distortions due to intermediate lens aberrations. Linear image distortions that could not be corrected this way were removed by comparison with simulations.
Refinement of parameters to optimize the fit between experiment and simulation was performed using the Bloch-wave simulation program felix and the source code is freely available (Beanland et al., 2019). Here we refer to simulations as LACBED patterns, while retaining the term D-LACBED pattern for experimental data. Experiment and simulation were compared using a zero-mean normalized cross-correlation fit index Z for pixel intensities Ip, n in LACBED patterns with mean intensities and standard deviation σn:
where the sum p is performed over all P pixels in each pattern and the sum n is performed over all N experimental D-LACBED patterns. Superscripts e and s refer to experimental and simulated patterns, respectively. This comparison ignores the absolute intensity of each LACBED pattern and concentrates instead on the changes in the detail of each pattern individually. Equation (1) gives a value of zero for a perfect fit and a value of unity for completely uncorrelated experiment and simulation. Data were binned by 4 to 100 × 100 to reduce simulation times and symmetry-related patterns were not included to reduce memory utilization. The simulation uses isotropic Debye–Waller factors and atomic Born scattering factors for neutral atoms from Kirkland (2010). Absorption is calculated using the numerical integration package QUADPACK (Piessens et al., 1983) following the Bird and King model (Bird & King, 1990), also using Kirkland scattering factors. Simulations on a cluster used 400 zero-order Laue-zone reflections chosen on a pixel-by-pixel basis from a pool of 1200, which typically completed in 108 s using 168 cores. Changes in intensity in the set of LACBED patterns produced by any structural parameter are both complex and distinctive, which allows a best fit to experimental D-LACBED patterns to be optimized for each parameter independently using a simple downhill gradient optimization routine (bisection + parabolic fit). The same solution was always obtained within estimated error, independent of starting position, indicating the absence of local minima that would give incorrect solutions. Specimen thicknesses were matched to simulation with a precision of 1 nm, using the ability of Bloch-wave methods to simultaneously calculate LACBED patterns for multiple thicknesses and choosing the best fit (see Table 1 and the supporting information). Unlike refinements using spot patterns (e.g. Jansen et al., 1998), in which almost equivalently good solutions can be obtained for different thicknesses, the large number of patterns in D-LACBED data results in a single best fit (Hubert et al., 2019). In order to estimate errors, after a RT best-fit structure was obtained we determined the standard deviation of individual atomic coordinates obtained from a multitude of starting points. These errors scale in the same way as the relative sensitivity of D-LACBED data to different parameters (see Section 3.4). They are roughly equal to the change in structural parameter that produces an increase of 10−5 in Z (see Fig. S1 in the supporting information). Thus, to avoid the need for multiple simulations to estimate errors, the latter was used as a consistent and readily calculated proxy.
3. Results
3.1. RT imaging and diffraction
A typical TEM image at RT is shown in Fig. 2(a). Grains, often with (001) planar boundaries, were up to 2 µm in size. Imaging perpendicular to the [001] direction reveals a significant density of (001) stacking faults, with a spacing between 2 and 100 nm, i.e. between 1 and 50 unit cells. These faults are interruptions in the 2:1 perovskite:rocksalt n = 2 Ruddlesden–Popper stacking sequence and were found to always consist of additional perovskite layers, indicating a slight excess (∼1% Mn) above the nominal 2:3 Mn:Ca ratio. Bands of brighter and darker contrast are observed in dark-field images as can be seen in the upper part of Fig. 2(a). As will be shown later, these bands are twins, as first proposed by Bendersky et al. (2003) and also observed by Gao et al. (2017). D-LACBED data were collected from the centre of stacking-fault-free regions, typically between 30 and 100 nm in size, using an electron probe of 10 nm FWHM.
3.2. RT D-LACBED
Fig. 3(a) shows an individual RT Ca3Mn2O7 CBED pattern at an incident-beam orientation very close to the [110] while Fig. 3(b) shows the average CBED pattern, obtained by aligning the 000 beam of all 3721 CBED patterns prior to summation. Due to the relatively large angular range covered by the incident beam, the average CBED pattern shows a more even distribution of intensities and extends further out in a similar effect to that seen in precession electron diffraction (PED) (Vincent & Midgley, 1994). Here, we only reconstruct D-LACBED patterns that have their pattern centre within the angular range covered, and choose the 109 discs inside the marked area in Fig. 3(b).
The corresponding RT D-LACBED patterns are shown in Fig. 4. As we have noted before (Beanland et al., 2013), determination of symmetry using D-LACBED patterns is straightforward in comparison with other methods, particularly for materials with a large lattice parameter that restricts the convergence angle of the incident beam. In the current case, the assembly of D-LACBED patterns in the upper part of Fig. 4 exhibits a (001) mirror, but not a (10) mirror, as expected from the [110] projection of the RT structure in Fig. 1(d). Since electron diffraction does not obey Friedel's law, the lack of a centre of symmetry is visible from the difference between patterns, or equivalently by comparison of Bijvoet pairs related by the broken mirror, as shown for selected patterns in the lower part of Fig. 4. The D-LACBED patterns on the left show that symmetry breaking is quite striking in some cases (e.g. -, -, -type patterns), but hardly visible in others (e.g. -type patterns). The presence of (001) mirror symmetry and absence of (110) mirror symmetry is also visible in the D-LACBED patterns on the 00h systematic row. As is clear from Fig. 1(d), the symmetry is broken primarily by oxygen-atom displacements of a few picometres, demonstrating the sensitivity of D-LACBED to the coordinates of relatively light elements. It is impossible to observe the symmetry in the conventional CBED pattern [Fig. 3(a)] – in fact, since the discs must be so small to avoid overlap and are essentially featureless, it is hardly possible to align the crystal exactly on the Furthermore, while the average CBED pattern contains significant intensities that cover a larger angular range [Fig. 3(b)], the absence of the (10) mirror is still not evident, presumably because the intensity differences only affect a small part of the the D-LACBED patterns and so have a small impact on the total intensity. We expect this problem may also affect PED data, which may not sample the particular incident-beam orientations that produce strong intensity differences between Bijvoet pairs.
The difference in D-LACBED patterns in Fig. 4 provides a simple method to demonstrate that the dark and light bands seen in dark-field TEM images are caused by Four twin variants are expected from the ratio of the order of the point groups of the prototype and RT structures, 4/mmm (order 16) and mm2 (order 4), respectively, i.e. 4/mmm = mm2 × 2/m, where × indicates a direct group product. In the case of A21am Ca3Mn2O7, one may choose 2/m = . However, since D-LACBED patterns are from the zero-order Laue zone (ZOLZ) they do not contain any 3D information from higher-order Laue zones (HOLZ). They correspond to a projection of the and it is not possible to distinguish between all four of these different operations; a twin generated by 2[110] is invisible and that generated by m(110) appears identical to that generated by . This explains the observation of only two types of contrast, dark and light, even though there are four distinct twin variants. Fig. 5 shows selected D-LACBED patterns, 004- and 222-type, which are sensitive to the broken mirror symmetry obtained from bands of different contrast. Reflections that appear equivalent in conventional [CBED, (SAED)] diffraction patterns are labelled with the same indices, using the subscript T to denote twinned (darker) material. The relationship between the different bands is readily apparent, e.g. the pattern from the dark band is equivalent to the pattern from the light band.
3.3. Structural refinement
We first consider atomic coordinates, with 19 structural parameters. , starting from the I4/mmm structure given by Bendersky et al. (2003) in the A21am with some small initial displacements from I4/mmm to ensure that the sense of octahedral rotations was consistent with the model of Lobanov et al. (2004). The initial fit was R ∼ 10%, which refined to Z = 3.7%. The refined RT structure is given in Table 1. Column δs gives the difference in picometres between this and the structure determined by Lobanov et al. using synchrotron X-ray diffraction. Average disagreement for all coordinates is 1.7 pm, with the largest difference (9 pm) in the position of the Ca atoms; our is closer to that of Lobanov et al. than is the X-ray study of Guiblin et al. (2002). This result clearly demonstrates the ability of D-LACBED to reliably determine structure with a precision comparable with that of other diffraction methods. Differences in electron and X-ray/neutron refinements may be due to the inevitable inclusion of stacking faults and small amounts of other phases in the X-ray/neutron data (Lobanov et al., 2004), which are avoided by the local measurement in defect-free material that is possible with D-LACBED. The RT structure refined from our D-LACBED data shows octahedral tilting about x and z axes, as expected.
was performed by minimizing differences between simulations and experimental RT data as described in Section 2Second, D-LACBED data are also sensitive to thermal atomic displacement factors B and apparent occupancy. The influence of B on D-LACBED patterns is typically ∼50 times less than that of atomic coordinates. Optimizing the fit to experiment improved Z by at most 0.5% and had no noticeable effect on atomic coordinate The lower sensitivity is reflected in the lower precision of B factors in Table 1. Our previous study (Hubert et al., 2019) found that thermal atomic displacement parameters in GaAs were significantly overestimated in D-LACBED refinements. This also is the case here: Guiblin et al. give BCa = 0.58 Å2, BMn = 0.30 Å2 and BO ≃ 0.65 Å2 at RT. Since the main effect of thermal atomic vibrations on LACBED patterns is to change absorption, the discrepancy may indicate that an improvement in the subtraction of diffuse background intensity in the original CBED patterns is required. Nevertheless, as shown in Section 3.5, B factors determined from D-LACBED data increase with temperature, as expected. An additional improvement in Z of at most 0.5% is obtained by allowing occupancy to vary, shown in the final column of Table 1. Oxygen stoichiometry may be affected by, for example, loss of oxygen under the electron beam and/or during heating in the vacuum of the microscope. However the best fit for oxygen occupancy at RT, between 0.9 and 0.95, suggests a very large oxygen loss that does not seem reasonable. This discrepancy is almost certainly due to the neutral IAM used here for structure factors; a lower measurement of occupancy corresponds to a shallower potential, consistent with the O2− anions in this material. This explanation is supported by occupancies very slightly in excess of unity for both Ca and Mn cations. We observe similar effects consistent with charge transfer between cations and anions in all other oxides studied by D-LACBED using a neutral IAM. Bonding and charge transfer principally affect low-order structure factors (Zuo, 1998) and have been targeted in many quantitative CBED studies (e.g. Tsuda & Tanaka, 1995; Nakashima et al., 2011) as well as least-squares of structure factors using multislice simulations (Jansen et al., 1998). The effects of changes to individual structure-factor amplitudes or phases are distributed across all patterns due to multiple (dynamical) scattering in a similar manner to structural parameters as investigated below in Section 3.4.
Finally, D-LACBED data are also sensitive to the lattice parameter, but unlike the other structural refinements this changes the position of the Bragg condition in the pattern as well as changes intensities from place to place. Our cross-correlation equation (1) requires both the angular range of the D-LACBED pattern to be known, and the position of the Bragg condition within it to be aligned to that of the simulated LACBED pattern with sub-pixel precision. We find that the presence of distortions such as intermediate lens astigmatism prevents a precise and absolute calibration of angular range to better than 0.5%, which is vastly inferior to X-ray measurements and not sufficient to allow reliable of the lattice parameter using D-LACBED. We thus use values from other studies (Senn et al., 2015).
3.4. Sensitivity of D-LACBED data
The structure given in Table 1 clearly shows that structural from D-LACBED data is viable even for quite complex inorganic materials. We now consider the sensitivity of LACBED patterns to the different structural parameters; we find that they depend strongly upon which atom, and which coordinate, is being refined. The effect of a structural parameter can be quantified by taking the difference between zero-mean normalized LACBED patterns for a reference structure S and an altered one S′, in which a small change in the ith structural parameter is made, in the current case a small change in atomic coordinate δsi. The result is an image that has positive and negative values corresponding to increases or decreases in intensity produced by the small change in structural parameter, which we call a δ image. Dividing by the magnitude of the displacement allows a direct comparison between different coordinates,
where σj is the standard deviation of the pixel intensities in pattern j. The δ images are shown for all 54 patterns j and all 19 allowed atomic displacements i for A21am Ca3Mn2O7 in the supporting information. We may assess the relative effect of each structural parameter by taking the root mean square (r.m.s.) of the δ image, i.e.
plotted in Fig. 6. A larger Δij corresponds to a larger change in the intensities of LACBED pattern j. Thus, in Fig. 6(a), each point corresponds to an individual Δij for the refined RT structure, ordered by the structural parameter i. A similar plot can be used to assess the goodness of fit between simulation and experiment, as shown in Fig. S3, which shows the general improvement in fit for all patterns as the structure is refined from I4/mmm to A21am, but also the improvement in the fit for specific patterns such as and . The different atomic coordinates have differing effects on the LACBED patterns, and it is instructive to examine this in more detail. An obvious dependence on is present, with the largest changes produced by the z coordinate of Mn (Z = 25), followed by Ca (Z = 20) and oxygen (Z = 8). The ratio of maximum intensity changes produced by equal movements of the three elements, Imax(Mn):Imax(Ca):Imax(O), is 7.0:4.3:1, which indicates a dependence of roughly Z1.6. A second clear trend is the dependence of Δij on the ordinate being refined: z coordinates have roughly 4 to 10 times larger influence on the patterns than y and x coordinates. This can be partly understood by noting that the z coordinate is perpendicular to the incident-beam direction; movements along z lie completely in the [110] projection, whereas movements along both x and y are close to 45° to the beam direction and so produce displacements in this projection that are smaller by a factor of cos(45°). However, the y coordinate of Mn produces the smallest intensity changes of all, which seems to be in contradiction with the dependence upon noted above.
Further insight may be gained into the the sensitivity of LACBED patterns to changes in atomic coordinates by considering the corresponding structure factors. The change in the jth reflection Fj due to a change in the ith structural parameter is
of thewhere the sum is performed over all n atoms in the fn is the scattering factor of the nth atom and ι = (−1)1/2. We find that plotting δFij against Δij yields no correlation (plots showing δFij for all 19 coordinate parameters in A21am Ca3Mn2O7 are shown in the supporting information). This lack of correlation is due to the transfer of intensity between different g vectors due to dynamical scattering; notably, large intensity changes occur even for LACBED patterns that have precisely zero change in amplitude or phase. However, for a given structural change i there is a positive correlation between the average change in of all reflections and the average of all LACBED intensity changes , shown in Figs. 6(b) and 6(c) in terms of mean change in structure-factor amplitude and phase .
In summary, structural parameters that have large effects on structure factors do produce large changes in the intensity of LACBED patterns, but these intensity changes are redistributed through the set of patterns by dynamical scattering. Equally, changes that have little effect on structure factors have a lesser effect on LACBED patterns. Although the magnitude of a change in intensity in any individual pattern may effectively be uncorrelated to that of the underlying cause, the complete set of LACBED patterns shows a similar overall sensitivity to that expected from kinematical scattering. This explains the relative lack of sensitivity of the D-LACBED data to the Mn x coordinate, which produces only very small changes in the structure factors of the LACBED patterns at the [110] [the point close to the origin in Figs. 6(b) and 6(c)].
We now understand that the average magnitudes of intensity changes are correlated with the average change in 3Mn2O7. Certainly the dependence on scattering factor implicit in the structure-factor equation (4) explains the effect of but why is there such a difference between different ordinates? We may understand this more clearly by examining the allowed displacements within the A21am as shown for the Ca2 atom in Fig. 7. The Ca2 atom lies in the rocksalt layer of the Ruddlesden–Popper structure with a multiplicity of eight in the Displacing a Ca2 atom along x results in a movement of all Ca2 atoms in the same direction when viewed in the [110] projection as shown in Fig. 6(a). Conversely, a displacement along y moves atoms at different depths in opposite directions, and what appears as a single atom column in I4/mmm splits into a pair of overlapping atoms at different depths. Finally, displacement along z moves the Ca2 atoms further towards the centre of the rocksalt layers. Movements of the other atoms are similar, as illustrated in the video in the supporting information. The very small Δij values for y movements of the Mn atom may be caused by two factors: first, the centroid of the atom column remains unchanged and a y displacement therefore does not change the phase of low-order structure factors; and second the close and symmetrically arranged O2 and O3 atoms overlap the Mn atom completely. The latter probably indicates that D-LACBED loses some precision when atoms overlap in projection and may be a limiting factor in the technique.
but have not considered why these should be so different for the particular case of CaIn Fig. 7 the atoms are displaced from the tetragonal I4/mmm structure. The effect on the symmetry of the whole LACBED data set is illustrated using a triplet of δ images (the 004 pattern and the 24, 24) on the right. Displacements along y and z do not break mirror symmetry in the [110] projection and thus the δ patterns maintain this symmetry. Conversely, a shift along x does break mirror symmetry and the δ patterns are antisymmetric, with opposite changes in intensity for Bijvoet pairs. The presence of twofold symmetry in all LACBED patterns produces lines of zero intensity change in the systematic 001 row in the latter case, a similar effect to the well known Gjonnes–Moodie bars but in this case in the differential of the LACBED pattern δi. More complicated changes can be produced by displacement of the oxygen atoms, for example movements of atoms O2 and O3 have δ images without mirror or antimirror symmetry. However, mirror symmetry can be maintained by coupled movement of the oxygen atoms, for example when O2z and O3z change by equal amounts in the same direction, or when O2x and O3x change by equal amounts in opposite directions (see Fig. S4).
In summary, while it is operationally straightforward to refine structural parameters using a simple fit parameter and a downhill gradient optimization, the sensitivity of the technique depends on the details of the structure being examined. The symmetry visible in D-LACBED patterns provides extra information, which can be used to constrain the permissible structural distortions in a structure. We make use of this additional constraint in the following section.
3.5. Refinements at elevated temperature
Measurements were taken and refinements performed for nominal sample temperatures up to 400°C, with the starting point for each A21am for all temperatures. [While Senn et al. (2015) proposed the Aeaa at temperatures where the anti-phase distortion is absent, this gave identical fits since in-phase and anti-phase octahedral twists about [001] appear exactly the same in the [110] projection of these structures. For simplicity here we ignore the possibility of an anti-phase distortion and the Aeaa phase on the understanding that the results are also compatible with it.] Selected D-LACBED patterns (, and , ) are shown in Fig. 8 on the left, with best-fit simulations on the right. A good fit is obtained for all cases and the change in symmetry is readily apparent, with the development of (10) mirror symmetry essentially complete by 200°C, indicating that the distortion has dropped to zero.
the best fit determined for the temperature below. Refinements are constrained to theIn refinements at 200°C or higher, mirror symmetry was preserved in the simulations by coupling the movement of oxygen atoms in octahedral rotations about the long c axis corresponding to the X2+ distortion mode, as noted above. Structures are given in the supporting information, Tables S1 to S4. Fig. 9(a) shows the magnitude of the distortions as a function of temperature. Although previous investigations found that tetragonal I4/mmm symmetry is obtained at temperatures of 400°C and higher, the octahedral rotations about c do not drop to zero at 400°C in our measurement and in fact increase between 300 and 400°C. This may be because the temperature of the TEM specimen at the electron probe is rather lower than the nominal value, obtained from a thermocouple in the specimen holder. The thermal atomic displacement parameters (B factors) extracted from D-LACBED data are shown in Figs. 9(b) and 9(c). The Mn and Ca atoms show a monotonic increase in B factor with temperature, as expected. Interestingly, oxygen atoms O1 and O4, whose displacements from the sites shown in Fig. 7 correspond to the distortion, show a strong decrease in B factor up to 300°C, i.e. even when the distortion is zero. This may show the presence of strong anharmonicity or rapid hardening of a soft phonon mode above 200°C.
4. Discussion
We begin by addressing the question posed at the end of Section 1, about the information that is produced and the ease of use of the technique in comparison with other methods. The structural measurements made here are quite routine for single-crystal neutron diffraction or synchrotron X-ray diffraction, but have to date not been possible using electron diffraction. While a large amount of data and simulated LACBED patterns are presented here (see the supporting information), this is primarily for the sake of completeness and to explore the possibilities offered by the D-LACBED method, and should not be taken as the level of detail or data processing necessary to obtain a result. In fact, data acquisition is straightforward and takes only a short amount of time, and the level of expertise required is little more than that needed to collect a conventional CBED pattern. Data processing into a form suitable to match simulated patterns typically takes less than an hour. by matching to Bloch-wave simulations, although robust due to the presence of a global minimum, currently requires access to good computing resources (preferably a cluster with 200 cores or more), but these are widely available and the computation requirement compares favourably with other techniques such as or density functional theory. Since the technique uses a focused probe that is stationary on the specimen, the electron dose is high (we estimate >108 electrons Å−2). Improvements in both experimental and computational methods could easily reduce time and effort by some orders of magnitude, while the relationship between intensities in patterns and structural parameters provides an extra dimension to analysis which is available if required. Additionally, of individual structure factors, as typically practised in CBED studies (Zuo, 1998; Zuo & Spence, 2017), is manifestly possible using LACBED data. As illustrated here, the D-LACBED technique brings the advantages of TEM, i.e. the ability to collect data from nanoscale regions and the opportunity to directly investigate the same region using diffraction contrast or high-resolution imaging, as well as structural determination with sub-nanometre precision. Perhaps the biggest limitation of the technique, at least in its current form where HOLZ information is essentially absent, is the lack of information on atomic displacements parallel to the electron beam. In the case of [110] Ca3Mn2O7 the displacement of one atom parallel to the beam must be accompanied by the displacement of another in a different direction that is related by symmetry, thus ensuring that all atomic coordinates can be refined. This is not the case in general. It may also be the case that atoms that are overlapping in the particular point of view chosen cannot be separated. To get the most from the technique, there may have to be some trade-off between the choice of an incident-beam direction that is sensitive to all atomic displacements while maintaining enough to be sensitive to the relative phases of the diffracted beams. Alternatively, refinements may be made using data collected from different zone axes.
In the current Aeam and Aeaa, from being distinguished, although a repeat experiment at a different could do so. However, the decay in anti-phase oxygen octahedral tilt () with increasing temperature (Fig. 9) is quite clear, as is the relative lack of change in octahedral twist about the c axis ( X2+). Our results are in good agreement with those of more sophisticated studies such as that of Ye et al. (2018).
these limitations prevent the two models of structure at elevated temperature,5. Summary and conclusions
We have demonstrated that D-LACBED data can be used to determine the relatively subtle structural distortions in Ca3Mn2O7 with a single global minimum in fit parameter that is straightforward to obtain using gradient descent optimization. of the structural model for RT data in the A21am gives an excellent fit to simulation. The result agrees with previous X-ray and neutron diffraction measurements to a mean accuracy better than 2 pm. Measurements at elevated temperature confirm the decay in anti-phase oxygen octahedral tilting perpendicular to the c axis, producing an Aeam or Aeaa structure at 200°C and above. The octahedral twists about c are robust and persist to a nominal 400°C, in agreement with previous work by others. The high sensitivity of the technique to atomic displacements can be understood by examining the changes in they produce. While effects ensure that changes in intensity for an individual pattern are generally unrelated to the change in its taken as a whole an ensemble of D-LACBED patterns demonstrates an average sensitivity that correlates well to the average change of all structure factors. The additional information provided by the symmetry of the D-LACBED patterns allows additional constraints to be applied to a structural model. The main weakness of the technique in its current form is the inability to distinguish between structures that appear the same in projection for the chosen orientation of the crystal. Thermal atomic displacement parameters can also be obtained but are much larger than those obtained by other methods, possibly indicating that improvements in the absorption model or data processing are required. Apparent atomic occupancies may be influenced by charge transfer between atoms, and show the limitations of the neutral IAM used here.
Finally, we note that the method can in principle be used on any modern computer-controlled transmission electron microscope, giving an additional quantitative diffraction method that can be applied at the nanoscale, complementing the already considerable strengths of TEM in imaging and spectroscopy.
Supporting information
https://doi.org/10.1107/S2053273321001546/lu5005sup1.cif
contains datablocks 302K, 373K, 473K, 573K, 673K. DOI:Animation showing constrained atom movements (gif). DOI: https://doi.org/10.1107/S2053273321001546/lu5005sup2.gif
Additional tables and sensitivity plots. DOI: https://doi.org/10.1107/S2053273321001546/lu5005sup3.pdf
Animation showing constrained atom movements (mp4). DOI: https://doi.org/10.1107/S2053273321001546/lu5005sup4.mp4
Ca3Mn2O7 | c = 5.239 Å |
Orthorhombic, Cmc21 | V = 534.53 Å3 |
a = 19.460 Å | T = 302 K |
b = 5.243 Å |
x | y | z | Biso*/Beq | Occ. (<1) | |
Ca1 | 0.0000 | 0.2654 (8) | 0.7360 (6) | 0.91 (2) | |
Ca2 | 0.1861 (1) | 0.2657 (5) | 0.7578 (4) | 0.793 (12) | |
Mn1 | 0.0978 (1) | 0.250 (2) | 0.2500 (5) | 0.52 (2) | |
O1 | 0.0000 | 0.2947 (11) | 0.2513 (10) | 2.26 (7) | 0.950 |
O2 | 0.1045 (1) | 0.5297 (9) | 0.0258 (10) | 1.45 (6) | 0.908 |
O3 | 0.0889 (1) | 0.0335 (9) | 0.9649 (10) | 1.54 (6) | 0.900 |
O4 | 0.1964 (1) | 0.2118 (9) | 0.2455 (7) | 1.84 (4) | 0.960 |
Ca3Mn2O7 | c = 5.247 Å |
Orthorhombic, Cmc21 | V = 536.19 Å3 |
a = 19.435 Å | T = 373 K |
b = 5.258 Å |
x | y | z | Biso*/Beq | ||
Ca1 | 0.0000 | 0.2675 (7) | 0.7425 (6) | 0.91 (2) | |
Ca2 | 0.1863 (1) | 0.2679 (5) | 0.7522 (4) | 0.793 (12) | |
Mn1 | 0.0979 (1) | 0.250 (2) | 0.2480 (5) | 0.52 (2) | |
O1 | 0.0000 | 0.2954 (11) | 0.2524 (10) | 2.26 (7) | |
O2 | 0.1026 (2) | 0.5292 (11) | 0.0240 (11) | 1.45 (6) | |
O3 | 0.0912 (2) | 0.0280 (10) | 0.9659 (11) | 1.54 (6) | |
O4 | 0.1967 (1) | 0.2043 (6) | 0.2440 (7) | 1.84 (4) |
Ca3Mn2O7 | c = 5.259 Å |
Orthorhombic, Cmc21 | V = 539.18 Å3 |
a = 19.425 Å | T = 473 K |
b = 5.278 Å |
x | y | z | Biso*/Beq | ||
Ca1 | 0.0000 | 0.2835 (4) | 0.7500 | 0.96 (2) | |
Ca2 | 0.1863 (1) | 0.2759 (3) | 0.7500 | 1.04 (2) | |
Mn1 | 0.0976 (1) | 0.2620 (10) | 0.2500 | 0.75 (2) | |
O1 | 0.0000 | 0.2159 (11) | 0.2500 | 1.29 (7) | |
O2 | 0.0960 (1) | 0.5318 (5) | 0.0318 (5) | 2.50 (10) | |
O3 | 0.0960 (1) | 0.0318 (5) | 0.9682 (5) | 2.46 (9) | |
O4 | 0.1960 (1) | 0.2043 (6) | 0.2500 | 1.65 (4) |
Ca3Mn2O7 | c = 5.275 Å |
Orthorhombic, Cmc21 | V = 543.49 Å3 |
a = 19.440 Å | T = 573 K |
b = 5.300 Å |
x | y | z | Biso*/Beq | ||
Ca1 | 0.0000 | 0.2775 (4) | 0.7500 | 1.21 (2) | |
Ca2 | 0.1861 (1) | 0.2711 (3) | 0.7500 | 1.06 (1) | |
Mn1 | 0.0976 (1) | 0.255 (2) | 0.2500 | 0.76 (2) | |
O1 | 0.0000 | 0.2939 (9) | 0.2500 | 0.79 (3) | |
O2 | 0.0964 (1) | 0.5267 (5) | 0.0267 (5) | 2.58 (9) | |
O3 | 0.0964 (1) | 0.0267 (5) | 0.9733 (5) | 2.60 (9) | |
O4 | 0.1966 (1) | 0.2043 (6) | 0.2500 | 0.99 (3) |
Ca3Mn2O7 | c = 5.290 Å |
Orthorhombic, Cmc21 | V = 548.03 Å3 |
a = 19.455 Å | T = 673 K |
b = 5.325 Å |
x | y | z | Biso*/Beq | ||
Ca1 | 0.0000 | 0.2735 (5) | 0.7500 | 1.65 (2) | |
Ca2 | 0.1865 (1) | 0.2692 (4) | 0.7500 | 1.59 (1) | |
Mn1 | 0.0978 (1) | 0.2500 (15) | 0.2500 | 0.88 (2) | |
O1 | 0.0000 | 0.2870 (10) | 0.2500 | 2.30 (5) | |
O2 | 0.0962 (1) | 0.5289 (5) | 0.0289 (5) | 2.23 (8) | |
O3 | 0.0962 (1) | 0.0289 (5) | 0.9711 (5) | 2.38 (8) | |
O4 | 0.1965 (1) | 0.2129 (6) | 0.2500 | 2.15 (3) |
Acknowledgements
We acknowledge the University of Warwick Research Technology Platforms on https://wrap.warwick.ac.uk/144207/.
and Scientific Computing for the use of facilities in the research described in this work. Open access data and content can be obtained fromFunding information
Funding for this research was provided by: Engineering and Physical Sciences Research Council (grant No. EP/J009229/1); Grantová Agentura České Republiky (project No. 18-09265S to P. Vaněk, S. Kamba); Ministerstvo Školství, Mládeže a Tělovýchovy (project No. SOLID21-CZ.02.1.01/0.0/0.0/16_019/0000760 to P. Vaněk, S. Kamba).
References
Bansal, D., Niedziela, J. L., He, X., Lanigan-Atkins, T., Said, A., Alatas, A., Abernathy, D. L., Ren, Y., Gao, B., Cheong, S.-W. & Delaire, O. (2019). Phys. Rev. B, 100, 214304. Web of Science CrossRef Google Scholar
Beanland, R., Evans, K., Römer, R. A. & Hubert, A. J. M. (2019). Felix: Bloch wave method diffraction pattern simulation software. https://github.com/RudoRoemer/Felix. Google Scholar
Beanland, R., Thomas, P. J., Woodward, D. I., Thomas, P. A. & Roemer, R. A. (2013). Acta Cryst. A69, 427–434. Web of Science CrossRef IUCr Journals Google Scholar
Bendersky, L. A., Chen, R. J., Fawcett, I. D. & Greenblatt, M. (2001). J. Solid State Chem. 157, 309–323. Web of Science CrossRef ICSD CAS Google Scholar
Bendersky, L. A., Greenblatt, M. & Chen, R. (2003). J. Solid State Chem. 174, 418–423. Web of Science CrossRef CAS Google Scholar
Benedek, N. A. & Fennie, C. J. (2011). Phys. Rev. Lett. 106, 107204. Web of Science CrossRef PubMed Google Scholar
Bird, D. M. & King, Q. A. (1990). Acta Cryst. A46, 202–208. CrossRef CAS Web of Science IUCr Journals Google Scholar
Buxton, B. F., Eades, J. A., Steeds, J. W. & Rackham, G. M. (1976). Philos. Trans. R. Soc. London Ser. A, 281, 171–194. CrossRef CAS Web of Science Google Scholar
Chen, B. H., Sun, T. L., Liu, X. Q., Zhu, X. L., Tian, H. & Chen, X. M. (2020). Appl. Phys. Lett. 116, 042903. Web of Science CrossRef Google Scholar
Fawcett, I. D., Sunstrom, J. E., Greenblatt, M., Croft, M. & Ramanujachary, K. V. (1998). Chem. Mater. 10, 3643–3651. Web of Science CrossRef ICSD CAS Google Scholar
Gao, B., Huang, F.-T., Wang, Y., Kim, J.-W., Wang, L., Lim, S.-J. & Cheong, S.-W. (2017). Appl. Phys. Lett. 110, 222906. Web of Science CrossRef Google Scholar
Gemmi, M., Mugnaioli, E., Gorelik, T. E., Kolb, U., Palatinus, L., Boullay, P., Hovmoller, S. & Abrahams, J. P. (2019). ACS Cent. Sci. 5, 1315–1329. Web of Science CrossRef CAS PubMed Google Scholar
Guiblin, N., Grebille, D., Leligny, H. & Martin, C. (2002). Acta Cryst. C58, i3–i5. Web of Science CrossRef ICSD CAS IUCr Journals Google Scholar
Hubert, A. J. M., Römer, R. & Beanland, R. (2019). Ultramicroscopy, 198, 1–9. Web of Science CrossRef CAS PubMed Google Scholar
Jansen, J., Tang, D., Zandbergen, H. W. & Schenk, H. (1998). Acta Cryst. A54, 91–101. Web of Science CrossRef ICSD CAS IUCr Journals Google Scholar
Kirkland, E. J. (2010). Advanced Computing in Electron Microscopy. New York: Springer. Google Scholar
Koch, C. T. (2011). Ultramicroscopy, 111, 828–840. Web of Science CrossRef CAS PubMed Google Scholar
Lobanov, M. V., Greenblatt, M., Caspi, E., Jorgensen, J. D., Sheptyakov, D. V., Toby, B. H., Botez, C. E. & Stephens, P. W. (2004). J. Phys. Condens. Matter, 16, 5339–5348. Web of Science CrossRef ICSD CAS Google Scholar
Nakashima, P. N. H., Smith, A. E., Etheridge, J. & Muddle, B. C. (2011). Science, 331, 1583–1586. Web of Science CrossRef CAS PubMed Google Scholar
Ogata, Y., Tsuda, K., Akishige, Y. & Tanaka, M. (2004). Acta Cryst. A60, 525–531. Web of Science CrossRef ICSD CAS IUCr Journals Google Scholar
Palatinus, L., Corrêa, C. A., Steciuk, G., Jacob, D., Roussel, P., Boullay, P., Klementová, M., Gemmi, M., Kopeček, J., Domeneghetti, M. C., Cámara, F. & Petříček, V. (2015a). Acta Cryst. B71, 740–751. Web of Science CrossRef IUCr Journals Google Scholar
Palatinus, L., Petříček, V. & Corrêa, C. A. (2015b). Acta Cryst. A71, 235–244. Web of Science CrossRef IUCr Journals Google Scholar
Piessens, R., de Doncker-Kapenga, E. & Überhuber, C. (1983). Quadpack: A Subroutine Package for Automatic Integration. Berlin: Springer. Google Scholar
Senn, M. S., Bombardi, A., Murray, C. A., Vecchini, C., Scherillo, A., Luo, X. & Cheong, S. W. (2015). Phys. Rev. Lett. 114, 035701. Web of Science CrossRef PubMed Google Scholar
Spence, J. C. H., Zuo, J. M. & Hoier, R. (1989). Phys. Rev. Lett. 63, 1119. CrossRef PubMed Web of Science Google Scholar
Tanaka, M., Saito, R., Ueno, K. & Harada, Y. (1980). J. Electron Microsc. 29, 408–412. Google Scholar
Tsuda, K. & Tanaka, M. (1995). Acta Cryst. A51, 7–19. CrossRef ICSD CAS Web of Science IUCr Journals Google Scholar
Vincent, R. & Midgley, P. A. (1994). Ultramicroscopy, 53, 271–282. CrossRef CAS Web of Science Google Scholar
Wolff, A. M., Young, I. D., Sierra, R. G., Brewster, A. S., Martynowycz, M. W., Nango, E., Sugahara, M., Nakane, T., Ito, K., Aquila, A., Bhowmick, A., Biel, J. T., Carbajo, S., Cohen, A. E., Cortez, S., Gonzalez, A., Hino, T., Im, D., Koralek, J. D., Kubo, M., Lazarou, T. S., Nomura, T., Owada, S., Samelson, A. J., Tanaka, T., Tanaka, R., Thompson, E. M., van den Bedem, H., Woldeyes, R. A., Yumoto, F., Zhao, W., Tono, K., Boutet, S., Iwata, S., Gonen, T., Sauter, N. K., Fraser, J. S. & Thompson, M. C. (2020). IUCrJ, 7, 306–323. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Xu, C., Ge, J.-Y., Feng, Z., Chen, F., Kang, B., Zhang, J. & Cao, S. (2019). Ceram. Int. 45, 20613–20625. Web of Science CrossRef CAS Google Scholar
Ye, F., Wang, J., Sheng, J., Hoffmann, C., Gu, T., Xiang, H. J., Tian, W., Molaison, J. J., dos Santos, A. M., Matsuda, M., Chakoumakos, B. C., Fernandez-Baca, J. A., Tong, X., Gao, B., Kim, J. W. & Cheong, S.-W. (2018). Phys. Rev. B, 97, 041112. Web of Science CrossRef Google Scholar
Zuo, J. & Spence, J. C. H. (2017). Advanced Transmission Electron Microscopy. New York: Springer-Verlag. Google Scholar
Zuo, J. M. (1998). Mater. Trans. JIM, 39, 938–946. Web of Science CrossRef CAS Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.