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Evaluation of crystallographic ordering degree of magnetically active ions in Sr2FeMoO6-δ by means of the (101) X-ray peak intensity

Strontium ferromolybdate double perovskite is a promising candidate for room-temperature spintronic applications. Nevertheless, SFMO has not yet found wide application in spintronics. This is attributed to the low reproducibility of its magnetic properties which partially originates from their strong dependence on the ordering degree of Fe and Mo ions in the Bʹ and Bʺ sublattices of double perovskite A2BʹBʺO6. In this work, we have considered an express method of determining the degree of disorder in strontium ferromolybdate. The sublattice occupation with Fe and Mo ions has been estimated for stoichiometric and nonstoichiometric Sr2FeMoO6-δ with a 5% Fe and Mo excess, respectively. We have calculated the intensity ratio between the superstructure (101) XRD peak and the most intense (112 + 200) peak. The calculated curves have been fitted to an analytical expression of a similar case known from literature. The calculation results obtained using the proposed method are within a ± 25 % agreement with Rietveld analysis of experimental data. Thus, this method can be used as an alternative to Rietveld analysis if the exposure time during X-ray diffraction experiment was insufficient. We have discussed the dependence of the I(101)/I(112 + 200) peak intensity ratio on various factors including instrumental broadening of diffraction peaks, peak twinning due to grain size reduction, thin film lattice parameter variation due to substrate lattice mismatch and lattice parameter variation due to oxygen vacancies. The relevance of the method is the evaluation of the degree of superstructure ordering in Sr2FeMoO6-δ without large time consumption for X-ray diffraction pattern recording and Rietveld data processing which may be essential when dealing with large amounts of experimental data.


Introduction
Strontium ferromolybdate (Sr 2 FeMoO 6-δ , SFMO) double perovskite is a promising candidate for room-temperature spintronic applications since it possesses a half-metallic character with theoretically 100% spin polarization [1] and a high Curie temperature of about 415 K enabling its application at room temperature (ferrimagnets should be operated in their ordered magnetic state below the Curie point). Additionally, SFMO exhibits a sufficient low-field magnetoresistance (LFMR) [2]. The LFMR is almost absent in single crystals [3] and reaches 6.5% in highly-ordered ceramics at room temperature when applying a magnetic flux density of 0.3 T [4]. Nevertheless, SFMO has not yet found wide application in spintronics. This is attributed to the low reproducibility of its magnetic properties which partially originates from their strong dependence on the ordering degree of Fe and Mo ions in the Bʹ and Bʺ sublattices of double perovskite A 2 BʹBʺO 6 [5].
SFMO possesses a tetragonal structure with the I4/m space symmetry group. However, some authors favor a space group I4/mmm with a lowered symmetry [6][7][8][9]. The perfect Sr 2 FeMoO 6 lattice structure can be considered as a modified perovskite structure in which corner connected FeO 6 and MoO 6 octahedra with cubic or tetragonal symmetry alternate along the three cubic axes. Cations A are in the cubic octahedral voids formed by the FeO 6 and MoO 6 octahedra (Fig. 1). The ordering degree S of stoichiometric SFMO is determined by the fraction of ions in the "wrong" sublattice, i.e., the so-called antisite disorder [10] S = 1 -2ASD. (1) Antisite disorder (ASD) takes place if a Fe ion from the Fe sublattice occupies a Mo ion site in the Mo sublattice (Fe Mo ) and vice versa (Mo Fe ). Thus, ASD is distinguished by the formation of Fe Mo and Mo Fe defect pairs. The ASD value may vary from 0 (complete order) to 0.5 (random distribution of Fe and Mo ions in the sublattices). Additionally, single antisite defects may occur if, e.g., excess Fe ions occupy sites in the Mo sublattice to form Fe Mo [11].
In the perfect SFMO lattice, the (101) crystallographic planes are the ones of either Fe or Mo. Correspondingly, a (101) superstructure peak appears in the X-ray diffraction pattern. The intensity of the (101) superstructure peak decreases with the development of ASD. It disappears completely in disordered structures where Fe and Mo ions are distributed randomly between the sublattices. Another superstructure reflection is the (103) peak. However, its intensity is far lower than that of the (101) peak even in a completely ordered material [12].
On the other hand, the SFMO lattice contains planes whose diffraction peak intensities do not depend on the degree of cation ordering in the B-site sublattices. Therefore, they can be used for comparison with the (101) superstructure peak intensity in order to determine the degree of antisite disorder. In literature, the double (112) + (200) peak [6] or the (404) peak [14] are used for such calibration. The (112) diffraction peak is the most intense one in SFMO and hence its intensity can be determined with the least errors. On the other hand, it partially overlaps with the (200) peak. This should be taken into account in the analysis.
Antisite disorder was evaluated also by 2D mapping of reciprocal space for the (101) and (404) peaks [14]. The I(101)/I(404) peak integral intensity ratio was taken as a measure of disorder in the sublattices using the following expression: where a = 0.5583 ± 0.0005 and b = 0.5225 ± 0.0002 are constants obtained by X-ray pattern simulation [14]. In our case of the I(101)/[I(112) + I(200)] peak intensity ratio, there is no theoretical formula which could be used for evaluating disorder degree avoiding preliminary X-ray pattern treatment by means of the Rietveld method. This gap is closed in this work.

Theory
In the following, we consider the intensity I of a X-ray reflection estimated as the height of the corresponding peak since this parameter can be reliably measured even if the X-ray exposure time is short. For example, the exposure time required for a reliable full-profile analysis of X-ray diffraction patterns is one order of magnitude larger than that required for phase analysis [21]. This makes Rietveld analysis of X-ray pattern quite time-consuming.
The calculations were carried out using the VESTA [13] and RIETAN-FP·VENUS Package [22] software. The initial data for SFMO X-ray diffraction pattern simulation (Table 1) were taken from an earlier work [8]. A SFMO cell with I4/m space group was considered as the main structure. The assumed lattice parameters were a = 0.557 nm and c = 0.790 nm. The radiation was CuK α (wavelength 0.154059 nm).
The main point defects in SFMO synthesized under oxygen deficiency are Sr vacancies and antisite defects [23]. Therefore, for simplicity, we will consider in the following Fe and Mo sublattices completely occupied by Fe or Mo ions.
The ordering degree in stoichiometric SFMO is given by In this case, the degree of sublattice occupation with Fe and Mo cations is determined by the following formulae: In nonstoichiometric Sr 2 Fe 1-x Mo 1+x O 6-δ , the degrees of sublattice occupation with Fe and Mo cations are determined as follows [24] Fe Mo Fe and correspondingly in Sr 2 Fe 1+x Mo 1-x O 6-δ : In order to determine ASD as a function of the I(101)/ [I(112) + I(200)] peak intensity ratio, we have used the sublattice occupation data compiled in Tables 2-4.
For the simulated SFMO crystal with the described above parameters (I4/m, a = 0.557 nm and c = 0.790 nm), the (101) peak for CuK α radiation is located at 19.484°, the (112) peak at 32.066° and the (200) peak is shifted to a higher angle beyond the (112) peak by 0.047°. Accounting only the (112) peak, overestimates the ASD in comparison with the literature data. With regard to the very small difference in the (112) and (200) peak positions, the sum of the (112) + (200) peak intensities may be considered as 149.8% of the (112) peak intensity.
The total peak intensity depends on a number of factors: • instrumental broadening of diffraction peaks; • peak broadening due to grain size reduction; • thin film lattice parameter variation due to substrate lattice mismatch; • lattice parameter variation due to oxygen vacancies etc.
We will now consider these factors more in detail. Instrumental broadening of diffraction peaks can be evaluated experimentally using the NIST-Si-standard 640d [33]. For example, for a Bruker D8 Discover X-ray spectrometer in Bragg-Brentano setup, the instrumental broadening of diffraction peaks at low diffraction angles is approx. 0.17°. Consequently, the total intensity of the (112) + (200) peaks increases to 146.5% of the (112) peak intensity. The peak broadening due to grain size reduction Table 1. Ion positions in the SFMO lattice [8].    Figure 2. Comparison of the ASD (1-5) calculated as a function of (101) peak intensity ratio with literature data of Rietveld analysis of X-ray diffraction patterns [6], [9], [16], [18], [25][26][27][28][29][30][31][32]: (1) calculation excluding the (200) peak, (2) calculation for the sum of (112) and (200)  is treated using the Scherrer formula for full width at half maximum (FWHM) of the diffraction peak: where d is the average grain size, k a dimensionless coefficient of approximately 0.5 (for spherical particles), λ is the X-ray wavelength and θ is the diffraction angle. The calculated broadening of (112) and (200) peaks for 100 nm diameter spherical particles is 0.083°. This broadening further increases the total peak intensity (112) + (200) to 147.9% of the (112) peak intensity. The small lattice mismatch between SFMO and substrate only slightly changes the SFMO superstructure peak intensities. This was proved by additionally considering the lattice parameter combinations a = 0.557 nm with c = 0.804 nm, a = 0.562 nm with c = 0.792 nm and a = 0.795 nm with c = 0.560 nm simulating Sr-TiO 3 , MgO and LaAlO 3 substrates, respectively [34]. The resulting curves slightly differ from the initial ones calculated for the lattice parameters a = 0.557 nm and c = 0.790 nm. The change in the lattice parameter due to oxygen vacancies [15,35,36] does not exceed the ones caused by SFMO/substrate lattice mismatch already considered above. Therefore, we have not examined it separately. The calculated curves follow Eq. (2), but with the X axis data being compressed since the (404) peak intensity is lower than the (112) peak intensity. Therefore, we fitted our calculated curve with regard to Eq.  Fig. 2.
Since the decrease in the (101) where S is the order parameter determined by Eq. (3) and S max the maximum degree of superstructure order which, e.g. for SFMO with excess Mo, is determined by the formula: S max = Fe Fe -Fe Mo = 2 -(Mo Mo + Mo Fe ) < 1. (15) The intensities of the (112) and (200) peaks depend on instrumental error, grain size and degree of crystallinity. They are also affected by incorrect specimen preparation (specimen crushing, specimen holder preparation etc.). Nevertheless, the method of the degree of superstructure ordering from the ratio of the I(101)/[I(112) + I(200)] peak intensities can be considered as a fairly simple evaluation method for SFMO compositions with the Fe/Mo ratio close to 1 since a peak intensity ratio is compared and the impact of the abovementioned factors was taken into account to a large extent.

Conclusion
In this work, an express method of ASD evaluation from the I(101)/[I(112) + I(200)] peak intensity ratio by means of Eq. (11) was proposed. The method allows saving exposure time of the X-ray experiment and provides reliable results for near-stoichiometric SFMO specimens with Fe ≈ Mo.