research papers
Treatment of multiple-beam X-ray diffraction in energy-dependent measurements
aDeutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany, bInstitute of Experimental Physics, Technical University Bergakademie Freiberg, 09596 Freiberg, Germany, and cLeibniz-Institut für Kristallzüchtung, Max-Born-Straße 2, 12489 Berlin, Germany
*Correspondence e-mail: melanie.nentwich@desy.de
During X-ray diffraction experiments on single crystals, the diffracted beam intensities may be affected by multiple-beam X-ray diffraction (MBD). This effect is particularly frequent at higher X-ray energies and for larger unit cells. The appearance of this so-called Renninger effect often impairs the interpretation of diffracted intensities. This applies in particular to energy spectra analysed in resonant experiments, since during scans of the incident photon energy these conditions are necessarily met for specific X-ray energies. This effect can be addressed by carefully avoiding multiple-beam e.g. to reveal the local atomic and electronic structure or chemical environment, is extended for a vast majority of crystalline materials. The potential of this approach compared with conventional data reduction is demonstrated by the measurements of the Ta L3 edge of well studied lithium tantalate LiTaO3.
at a given X-ray energy and a given position in However, areas which are (nearly) free of MBD are not always available. This article presents a universal concept of data acquisition and post-processing for resonant X-ray diffraction experiments. Our concept facilitates the reliable determination of kinematic (MBD-free) resonant diffraction intensities even at relatively high energies which, in turn, enables the study of higher absorption edges. This way, the applicability of resonant diffraction,Keywords: resonant elastic X-ray scattering; multiple-beam X-ray diffraction; Renninger effect; data processing.
1. Introduction
X-ray diffraction (XRD) from perfect single crystals is described by the ; Batterman & Cole, 1964). This theory also describes the interference effects that appear when the Bragg condition is fulfilled for several reflections. This so-called multiple-beam X-ray diffraction (MBD) may result in enhancement or dampening of diffracted intensity (Renninger, 1937; Newville, 2021; Kohn, 1979; Kohn & Kazimirov, 2012; Besirganyan et al., 1984). In contrast, diffraction from slightly imperfect or small crystals can be described by the kinematic theory of diffraction as a small lattice coherence length prevents the multiple wave interference effect to a large extent (Holý et al., 1994; Krivoglaz, 1996; Juretschke, 1984). Most practical applications assume the kinematic approach to be valid and dynamical effects are treated as a source of experimental error. However, especially for hard X-rays, large unit cells, and weak or even `forbidden' reflections, the measured intensities can be dominated by MBD (Gabrielyan & Kohn, 1981), also called the Renninger effect (Newville, 2021) or Umweganregung. The investigation of the fine structure oscillations in resonant elastic (REXS) experiments (Richter et al., 2018; Weigel et al., 2023; Nentwich et al., 2016) suffers particularly from these effects (see Section 2), which have been either overlooked or perceived as disruptive and hence avoided (Laligant et al., 1989; Baruchel, 1993; Massa, 2007; Petcov, 1989). Lately, increasing concomitant interpretation facilitates additional information about the material (Hayashi et al., 1999; dos Santos et al., 2019; Borcha et al., 2017; Mikula et al., 2021; Freitas et al., 2007; Chang, 2004, 1982; Weckert & Hümmer, 1997). So-called Renninger scans, describing a rotation about the azimuth angle ψ (about the normal of the diffracting lattice planes), reflect the symmetry of the and bear information about the orientation of local electronic orbitals in REXS experiments (Zschornak et al., 2014). Still, the undesired appearance of MBD needs to be carefully handled to obtain clean values of the for data evaluation. One approach is simply to avoid the constellations where this effect occurs, but, as we will show, this is rarely possible. Thus, here we present an approach to correct for MBD in a readily automatable way.
of diffraction (Authier, 2005Recently, Kozlovskaya et al. (2021) presented an approach to avoid MBD a priori. Prior to the measurements, they calculated so-called Renninger maps displaying the intensity depending on both X-ray energy and azimuth angle ψ (Weckert & Hümmer, 1997; Dmitrienko, 2009; Ovchinnikova et al., 2020; Richter, 2021; Walz, 2011). Based on these maps, they determined the sample orientations for which the desired energy scan of TeO2 at approximately 4.94 keV (Te L1 edge) was free of MBD.
However elegant this approach is, it may not always be applicable. Especially for large ratios of unit-cell dimensions to wavelength, the number of reflections close to the ). Given a compound of interest, the cell dimensions are fixed and the photon energy alone determines this density. As an example, Fig. 1 shows the influence of the energy on the calculated azimuthal dependence of the `forbidden' 0 3 15 reflection intensity of ferroelectric lithium tantalate LiTaO3. Scans of ψ reflect the symmetry of the and bear information about the orientation of local electronic orbitals in REXS experiments (Zschornak et al., 2014), as highlighted by the grey lines in Fig. 1. Additionally, this figure shows that, although the LiTaO3 is still rather small and X-ray energies of 9.88 keV (Ta L3 edge) are moderate, hardly any azimuthal range remains unaffected by MBD.
may become too high (Baruchel, 1993Fig. 1 is based on the structure solution of ICSD 9537 (Abrahams & Bernstein, 1967) and on the equations given by Weckert & Hümmer (1997) implemented in the Python module pyasf (Richter, 2021). Trigonal lithium tantalate is a well studied material with regards to structure (Abrahams & Bernstein, 1967), electrical and chemical properties (Smith & Welsh, 1971; Köhler et al., 2016, 2021a; de Vivanco et al., 2020), growth (Barns & Carruthers, 1970; Miyazawa & Iwasaki, 1971; Brandle & Miller, 1974; Furukawa et al., 1999), and defects (Vyalikh et al., 2018; Zotov et al., 1994; Köhler et al., 2021b, 2023), and serves as a model material here.
Evidently, the approach of a priori calculations to avoid the occurrence of MBD in the measurements is limited in its application when the becomes large. In this work, we present an alternative approach to obtain resonant diffraction spectra free from the Renninger effect, which facilitates the investigation of a larger group of materials even at higher energy absorption edges. In Section 3, we describe the concept of data acquisition and post-processing of REXS data, and in Section 4 we demonstrate the application of this approach to the aforementioned measurements of LiTaO3.
2. Origin and theory of multiple-beam X-ray diffraction
MBD was first described by Renninger (1937) when he measured significant intensity at the position of the `forbidden' 2 2 2 reflection of diamond as it was superimposed by MBD. The effect occurs if two reflections are excited simultaneously, i.e. when two points lie on the (Newville, 2021) under consideration of the excitation error (Bethe, 1928; Weckert & Hümmer, 1997), see Fig. 2(a). Fig. 2(b) visualizes the effect in real space: the diffracted beam k1 is the conventional Bragg reflection of the primary beam k0, caused by diffraction from the blue planes. Simultaneously, k0 is diffracted in a coherent process at another set of crystallographic planes (green) towards k2, which now serves as the incoming beam for the red planes, resulting in the detour excited beam k3. In the rare case that k3 points in the same direction as k1, the intensity is either enhanced or damped compared with the signal of k1 alone, depending on the interaction between those beams being constructive or destructive (dos Santos et al., 2019). The conditions to observe the Renninger effect are related to the Bragg condition of having a second reflection on the (i.e. highly sensitive to lattice parameters, energy and angular position of the sample). For avoiding or studying the Renninger effect, are the azimuthal rotation (about angle ψ) of the primary reflection of theX-rayenergy.
The azimuthal rotation corresponds to a rotation of the q1 in the see Fig. 2(a). Depending on the inclination of q2 with respect to q1, small rotations may cause additional points to leave or enter the surface of this sphere and, thus, violate or fulfil the Laue condition of the MBD. Therefore, the MBD exhibits a larger or a similar angular width compared with other Bragg reflections. The density of points in the vicinity of the surface of the in Fig. 2(a) and, thus, the probability to encounter MBD increases with the ratio of unit-cell dimensions to wavelength (Richter et al., 2014).
aroundThe wave resulting from MBD is the superposition of the primary beam wave q1 and the wave that is simultaneously diffracted at the lattice planes q2 and q3, with q3 = q1 − q2, denoted by their corresponding vectors. In general, the interference of two waves is described as their complex sum. In the present case, the formula is based on the structure factors (F) involved, corrected for the X-ray scattering strength Γ (Juretschke, 1984) and for the beam polarization by the geometrical coupling factors αnm (Weckert & Hümmer, 1997). The term of the detour excited wave is the product of both partial waves and a resonance term R(q2) (Weckert & Hümmer, 1997). In total, the effective can be calculated by
This formula is realized within the Python module pyasf (Richter, 2021), which was used for the calculations presented within this article.
3. Data acquisition and processing
The occurrence of the Renninger effect is unavoidable when recording REX spectra as scanning a range of incident photon energies is usually required. One way to filter out the desired energy dependencies of the two-beam case (in the absence of MBD) is to acquire several scans for the same energy range at arbitrarily chosen azimuth angles, as outlined in Fig. 3. However, the number of required azimuthal positions to obtain a clean spectrum also depends on the choice of these angles. In this case, due to a high number of points close to the surface, the number of scans was not sufficient. The data were recorded in Bragg geometry with the six-circle Huber diffractometer of beamline P23 at PETRA III synchrotron, Hamburg. The energy resolution of the Si(111) double-crystal monochromator used is 1.3 × 10−4 and the divergence is 7.1 µrad × 2.1 µrad. Both the divergence and its energy bandwidth influence the visibility and sharpness of MBD during energy scans. With its beam parameters, beamline P23 represents a typical case.
We were able to improve the quality of the spectra by significantly increasing the data redundancy using a larger number of azimuthal positions (angle ψ, ∼25 steps, inner loop) at the expense of a rougher sampling of the photon energy (∼75 steps) in the outer loop. In general, the rotation about the azimuth angle ψ of a given reflection requires a combined rotation of about three (e.g. Eulerian) axes of the diffractometer unless the diffracting lattice planes can be aligned perpendicular to one of the rotation axes. At optimized beamlines, continuous coupled scans of several axes are nowadays available, allowing the user to acquire a much higher number of azimuthal data points per unit time. Using a 2D detector allows the separation of the background from the diffracted signal including MBD. The zero position of the azimuthal needs to be defined [e.g. following the convention of Schwarzenbach & Flack (1989)] and determined for the respective crystal under study as demonstrated in Fig. 4. Here, the measurement settings were such that the inner rotation axis ϕ was nearly parallel to the ψ axis and the high-symmetry position at ϕ = 10.23° was found to be the zero position of ψ.
To disentangle the individual contributions to a REXS measurement, we additionally improved the subsequent data analysis with a multilevel routine that takes frames from 2D detectors and was implemented in Python code (Nentwich et al., 2023), see Fig. 5. The starting point of our approach is that there is no azimuthal position in a Renninger map that is free of MBD. However, we assume that, for each energy, there are azimuthal values where the influence of MBD is negligible. We now want to identify these automatically and use them to create a clean spectrum. In the following paragraph, we will describe this process and the data treatment involved including different corrections (e.g. background, detector, incoming beam intensity…).
The basic idea of the presented approach is that no azimuthal position in a Renninger map exists that is free of MBD. However, a reasonable assumption is that there are azimuthal values where the influence of MBD is negligible (for each energy). We now want to identify these (energy-dependent) azimuthal values automatically and use them to create a clean spectrum. In the following paragraph, we not only describe this process, but also the complete data treatment including different corrections (e.g. background, detector, incoming beam intensity etc.).
The main steps of this routine are visualized in Fig. 5. Once the raw data (detector frames and motor positions) are loaded, the frames are normalized to the primary beam and corrected for detector artefacts caused by pixels with different sensitivities (hot and cold pixels) by flatfield correction. In order to separate the background from the actual signal (including MBD) for each of the detector frames, the region containing the diffracted intensity on the detector is marked by the users in step Fig. 5(a). Everything outside this region is considered as constant background for each ψ and E, leading to the map shown in Fig. 5(b). The background-corrected signal is obtained by subtracting the average of the intensity readings outside the user-selected region from the average of those values inside. This is done for each azimuth and X-ray energy leading to the map in Fig. 5(c).
In the last step in Fig. 5(d), the Renninger effect is filtered out by evaluating ψ-dependent intensity IE(ψ) for a given X-ray energy E. In the case of strong, allowed reflections, both an increase and a decrease of intensity could falsify the measurement. Thus, the median of IE(ψ) is interpreted as the MBD-free intensity. An average cannot be used as extremely high MBD-signal will falsify the results. In the case of weak (e.g. `forbidden') reflections, only an increase in intensity due to MBD is observed. In this case, the lowest intensity values are interpreted as MBD-free. For intermediate cases between strong and `forbidden' reflections, the signal can be recovered by individually increasing/decreasing the number of evaluated intensities. In contrast, the background values are reduced to a one-dimensional array over energy by averaging the values corresponding to different ψ values at the same energy.
4. Results
We tested this approach for the `forbidden' 0 3 15 reflection of a congruent LiTaO3 single crystal (Crystec, Berlin). The spectra of forbidden reflections are particularly prone to MBD contributions as they are weak. We were able to acquire sufficiently redundant data to extract energy-dependent REX spectra that are almost free from the Renninger effect. Fig. 6 shows the final result of the procedure using ψ–E grid scans [black, as in Fig. 5(d)] in comparison with the initial E scans (red, as in Fig. 3).
To benchmark the data-correction procedure (to recover the MBD-free signal), we apply it to a calculated spectrum including MBD, in order to recover the MBD-free signal. The calculations performed for LiTaO3 are based on the structure solution of ICSD 9537 (Abrahams & Bernstein, 1967). The purely energy-dependent part and the MBDs were calculated separately employing fdmnes (Bunău & Joly, 2009) and pyasf (Richter, 2021), respectively, see Fig. 7. As both programs are not interfaced to each other, the data need to be rescaled to match the experiment. Some discrepancy between calculated and experimental data regarding the MBD-free, ψ-independent part is expected due to an uncertainty in the temperature-induced atomic displacement parameters (ADPs) (Richter et al., 2018; Weigel et al., 2023).
Fig. 8 demonstrates the influence of the choice of the threshold to discriminate the MBD-affected values as described above in step (d). We consider again the `forbidden' 0 3 15 reflection of LiTaO3. At a given X-ray energy E, the threshold is placed at different percentiles (e.g. lowest 5%; with the lowest 100% representing the overall mean of the data). Additionally, we present the overall median (equal to the 50th percentile). The bottom part of Fig. 8 presents the relative differences between the original (fdmnes) and the restored signal (Ir − Io)/Io, with their averages ranging between 1.2 × 10−2 and 5.7 × 102. As expected, for this weak `forbidden' reflection, the most reasonable choices of threshold for step (d) are the lowest percentiles of up to 10%.
Further results are described by Richter et al. (2018) and Weigel et al. (2023), where the present approach was successfully applied to generate clear spectra of allowed reflections and to refine the underlying using a fit.
5. Conclusions and outlook
We presented an automatable approach to receive clean, Renninger-reflection-free, REX spectra. The approach requires establishing scans of the azimuth angle ψ, e.g. as a virtual motor in the beamline control. Subsequently, ψ–E grids are measured with a finely screened azimuth angle in the inner loop and moderately stepped energies in the outer one. Employing a Python script, the detector frames corresponding to a ψ–E grid are handled and the energy-dependent signal and background are returned, free from the Renninger effect. As a result, clean REX spectra can be measured even at relatively high energies with respect to the unit-cell dimensions (see Fig. 6) which, in turn, allows us to study anomalous diffraction from crystals at absorption edges located at high energies. Moreover, this facilitates the study of local structure and chemical environments and an extended set of chemical elements in highly perfect single-crystalline materials.
The successful recovery of the REX spectra is mainly limited by the density of the multiple-beam cases: if the density is very low, no recovery is needed as the data are not strongly affected. This is often the case for low energies, small unit cells, and also for weakly scattering samples (e.g. powders, thin films) and low-excitation errors. If the density becomes higher, a recovery is possible if still some angular ranges exist that are relatively unaffected from MBD. Otherwise, the presented approach will also fail.
Our approach is especially beneficial for the investigation of `forbidden' reflections, which are particularly sensitive to the Renninger effect. We have demonstrated the effectiveness of the procedure on the energy-dependence of the `forbidden' 0 3 15 reflection of LiTaO3 near the Ta L3 edge.
Acknowledgements
We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III and we would like to thank Yury Matveev for assistance in using beamline P23. Beam time was allocated for proposal I-20181183. Open access funding enabled and organized by Projekt DEAL.
Funding information
Financial support is gratefully acknowledged during projects of Deutsche Forschungsgemeinschaft (REXSuppress 324641898; AcoustREXS 409743569). This project received funding from the European Union's Horizon 2020 Research and Innovation programme (grant agreement No. 871072). The beam time was reimbursed by DESY Photon Science (bursary No. I-20181183).
References
Abrahams, S. C. & Bernstein, J. L. (1967). J. Phys. Chem. Solids, 28, 1685–1692. CrossRef CAS Web of Science Google Scholar
Authier, A. (2005). Dynamical Theory of X-ray Diffraction, Vol. 11. Oxford University Press on Demand. Google Scholar
Barns, R. L. & Carruthers, J. R. (1970). J. Appl. Cryst. 3, 395–399. CrossRef CAS IUCr Journals Web of Science Google Scholar
Baruchel, J. (1993). Neutron and Synchrotron Radiation for Condensed Matter Studies, Vol. 1. Springer Verlag Berlin. Google Scholar
Batterman, B. W. & Cole, H. (1964). Rev. Mod. Phys. 36, 681–717. CrossRef CAS Web of Science Google Scholar
Besirganyan, P. A., Gabrielyan, R. T., Kohn, V. G. & Toneyan, A. H. (1984). Phys. Status Solidi A, 85, 349–358. CrossRef CAS Google Scholar
Bethe, H. (1928). Annal. Phys. 392, 55–129. CrossRef Google Scholar
Borcha, M., Fodchuk, I., Solodkyi, M. & Baidakova, M. (2017). J. Appl. Cryst. 50, 722–726. Web of Science CrossRef CAS IUCr Journals Google Scholar
Brandle, C. D. & Miller, D. C. (1974). J. Cryst. Growth, 24–25, 432–436. CrossRef CAS Web of Science Google Scholar
Bunău, O. & Joly, Y. (2009). J. Phys. Condens. Matter, 21, 345501. Web of Science PubMed Google Scholar
Chang, S.-L. (1982). Acta Cryst. A38, 516–521. CrossRef CAS IUCr Journals Google Scholar
Chang, S.-L. (2004). X-ray Multiple-Wave Diffraction: Theory and Application, Vol. 143. Springer Science & Business Media. Google Scholar
Dmitrienko, V. E. (2009). Crystallogr. Rep. 54, 937–940. CrossRef CAS Google Scholar
Freitas, R. O., Lamas, T. E., Quivy, A. A. & Morelhão, S. L. (2007). Phys. Status Solidi A, 204, 2548–2554. Web of Science CrossRef CAS Google Scholar
Furukawa, Y., Kitamura, K., Suzuki, E. & Niwa, K. (1999). J. Cryst. Growth, 197, 889–895. CrossRef CAS Google Scholar
Gabrielyan, R. T. & Kohn, V. G. (1981). Phys. Status Solidi A, 63, 345–353. CAS Google Scholar
Hayashi, M. A., Avanci, L. H., Cardoso, L. P., Bettini, J., de Carvalho, M. M. G., Morelhão, S. L. & Collins, S. P. (1999). J. Synchrotron Rad. 6, 29–33. Web of Science CrossRef CAS IUCr Journals Google Scholar
Holý, V., Wolf, K., Kastner, M., Stanzl, H. & Gebhardt, W. (1994). J. Appl. Cryst. 27, 551–557. CrossRef Web of Science IUCr Journals Google Scholar
Juretschke, H. J. (1984). Acta Cryst. A40, 379–389. CrossRef CAS Web of Science IUCr Journals Google Scholar
Köhler, T., Mehner, E., Hanzig, J., Gärtner, G., Funke, C., Joseph, Y., Leisegang, T., Stöcker, H. & Meyer, D. C. (2021a). J. Mater. Chem. C. 9, 2350–2367. Google Scholar
Köhler, T., Mehner, E., Hanzig, J., Gärtner, G., Stöcker, H., Leisegang, T. & Meyer, D. C. (2016). J. Solid State Chem. 244, 108–115. Google Scholar
Köhler, T., Zschornak, M., Röder, C., Hanzig, J., Gärtner, G., Leisegang, T., Mehner, E., Stöcker, H. & Meyer, D. C. (2023). J. Mater. Chem. C. 11, 520–538. Google Scholar
Köhler, T., Zschornak, M., Zbiri, M., Hanzig, J., Röder, C., Funke, C., Stöcker, H., Mehner, E. & Meyer, D. C. (2021b). J. Mater. Chem. C, 9, 13484–13499. Google Scholar
Kohn, V. G. (1979). Phys. Status Solidi A, 54, 375–384. CrossRef Web of Science Google Scholar
Kohn, V. G. & Kazimirov, A. (2012). Acta Cryst. A68, 331–336. Web of Science CrossRef IUCr Journals Google Scholar
Kozlovskaya, K. A., Kulikov, A. G., Novikov, D., Ovchinnikova, E. N., Ustyugov, A. M. & Dmitrienko, V. E. (2021). Cryst. Res. Technol. 56, 2000195. CrossRef Google Scholar
Krivoglaz, M. A. (1996). X-ray and Neutron Diffraction in Nonideal Crystals. Springer. Google Scholar
Laligant, Y., Calage, Y., Heger, G., Pannetier, J. & Ferey, G. (1989). J. Solid State Chem. 78, 66–77. CrossRef ICSD CAS Web of Science Google Scholar
Massa, W. (2007). Kristallstrukturbestimmung, Vol. 6. Springer. Google Scholar
Mikula, P., Šaroun, J., Strunz, P. & Ryukhtin, V. (2021). J. Neutron Res. 23, 29–51. CrossRef Google Scholar
Miyazawa, S. & Iwasaki, H. (1971). J. Cryst. Growth, 10, 276–278. CrossRef CAS Web of Science Google Scholar
Nentwich, M., Zschornak, M., Richter, C., Novikov, D. & Meyer, D. C. (2016). J. Phys. Condens. Matter, 28, 066002. CrossRef PubMed Google Scholar
Nentwich, M., Zschornak, M., Weigel, T., Köhler, T., Novikov, D., Meyer, D. C. & Richter, C. (2023). Scripts for Measurements Suitable to Flter Multiple Beam X-ray Diffraction in Energy Dependent Measurements, https://bib-pubdb1.desy.de/record/584183. Google Scholar
Newville, M. (2021). Fundamentals of XAFS. Consortium for Advanced Radiation Sources University of Chicago, Chicago, IL, USA. Google Scholar
Ovchinnikova, E., Novikov, D., Zschornak, M., Kulikov, A., Kozlovskaya, K., Dmitrienko, V., Oreshko, A., Blagov, A., Mukhamedzhanov, E., Marchenkov, N., Borisov, M., Khadiev, A., Petrenko, A. & Pisarevsky, Y. (2020). Crystals, 10, 719. CrossRef Google Scholar
Petcov, A. (1989). PhD thesis, Universität des Saarlandes, Saarbrücken, Germany. https://bib-pubdb1.desy.de/record/221685/files/DESY-HASYLAB-89-08.pdf. Google Scholar
Renninger, M. (1937). Z. Phys. 106, 141–176. CrossRef CAS Google Scholar
Richter, C. (2021). pyasf – Python module to compute the anisotropic resonant scattering factor, https://github.com/carichte/pyasf/releases. Google Scholar
Richter, C., Novikov, D. V., Mukhamedzhanov, E. K., Borisov, M. M., Akimova, K. A., Ovchinnikova, E. N., Oreshko, A. P., Strempfer, J., Zschornak, M., Mehner, E., Meyer, D. C. & Dmitrienko, V. E. (2014). Phys. Rev. B, 89, 094110. Web of Science CrossRef Google Scholar
Richter, C., Zschornak, M., Novikov, D., Mehner, E., Nentwich, M., Hanzig, J., Gorfman, S. & Meyer, D. C. (2018). Nat. Commun. 9, 178. Web of Science CrossRef PubMed Google Scholar
Santos, A. O. dos, Lang, R., Sasaki, J. M. & Cardoso, L. P. (2019). J. Appl. Cryst. 52, 1271–1279. Web of Science CrossRef IUCr Journals Google Scholar
Schwarzenbach, D. & Flack, H. D. (1989). J. Appl. Cryst. 22, 601–605. CrossRef Web of Science IUCr Journals Google Scholar
Smith, R. T. & Welsh, F. S. (1971). J. Appl. Phys. 42, 2219–2230. CrossRef CAS Web of Science Google Scholar
Vivanco, M. U. de, Zschornak, M., Stöcker, H., Jachalke, S., Mehner, E., Leisegang, T. & Meyer, D. C. (2020). Phys. Chem. Chem. Phys. 22, 17781–17790. PubMed Google Scholar
Vyalikh, A., Zschornak, M., Köhler, T., Nentwich, M., Weigel, T., Hanzig, J., Zaripov, R., Vavilova, E., Gemming, S., Brendler, E. & Meyer, D. C. (2018). Phys. Rev. Mater. 2, 013804. CrossRef Google Scholar
Walz, B. (2011). PhD thesis, Deutsches Elektronen-Sychrotron, Universität Hamburg, Germany. https://inis.iaea.org/search/search.aspx?orig_q=RN:43003536. Google Scholar
Weckert, E. & Hümmer, K. (1997). Acta Cryst. A53, 108–143. CrossRef CAS Web of Science IUCr Journals Google Scholar
Weigel, T., Richter, C., Nentwich, M., Mehner, E., Garbe, V., Bouchenoire, L., Novikov, D., Meyer, D. C. & Zschornak, M. (2023). Phys. Rev. B. Accepted. Google Scholar
Zotov, N., Boysen, H., Frey, F., Metzger, T. & Born, E. (1994). J. Phys. Chem. Solids, 55, 145–152. CrossRef ICSD CAS Google Scholar
Zschornak, M., Richter, C., Nentwich, M., Stöcker, H., Gemming, S. & Meyer, D. C. (2014). Cryst. Res. Technol. 49, 43–54. 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.