Abstract
Phase-separated semiconductors containing magnetic nanostructures are relevant systems for the realization of high-density recording media. Here, the controlled strain engineering of GaFeN layers with FeN embedded nanocrystals (NCs) via AlGaN buffers with different Al concentration % is presented. Through the addition of Al to the buffer, the formation of predominantly prolate-shaped -FeN NCs takes place. Already at an Al concentration ≈ 5% the structural properties—phase, shape, orientation—as well as the spatial distribution of the embedded NCs are modified in comparison to those grown on a GaN buffer. Although the magnetic easy axis of the cubic ’-GaFeN nanocrystals in the layer on the buffer lies in-plane, the easy axis of the -FeN NCs in all samples with AlGaN buffers coincides with the growth direction, leading to a sizeable out-of-plane magnetic anisotropy and opening wide perspectives for perpendicular recording based on nitride-based magnetic nanocrystals.
Keywords: magnetic anisotropy, iron nitrides, III-nitrides, nanocrystals
1. Introduction
Iron nitrides (FeN) have been widely studied for half a century due to their outstanding physical properties [1,2,3,4,5,6,7] and their application in magnetic recording media [4]. Particularly relevant are the high spin polarization and high Curie temperature () ferromagnetic compounds -FeN with reported K [5], and ’-FeN with K [6,7,8]. Their implementation in combination with GaN into heterostructures is expected to serve for spin injection devices [9,10,11].
In this respect, the controlled fabrication of planar arrays of ferromagnetic ’-GaFeN nanocrystals (NCs) embedded in a GaN matrix resulting from the epitaxy of GaFeN layers, and whose size, shape and density can be adjusted through the fabrication conditions [12,13], becomes appealing for the realization of spin injection. The incorporation of Ga ions into the ’-GaFeN NCs is expected to allow tuning the magnetic properties of the embedded NCs from ferromagnetic to ferrimagnetic [14] and weakly antiferromagnetic [15], opening wide perspectives for the implementation of these material systems into the field of antiferromagnetic spintronics [16]. The structural, magnetic and transport properties of thin GaFeN layers deposited onto GaN buffers grown on c-sapphire (AlO) have been already studied in detail [12,13,17,18,19]. It was demonstrated that in GaFeN layers, the face-centered cubic ’-GaFeN nanocrystals have a preferential epitaxial relation ‖ and , with a minimal fraction of NCs aligned according to ‖ and adjusting to the hexagonal symmetry of the matrix. Co-doping with Mn leads to the reduction of the NCs size and to a quenching of the overall superparamagnetic character of the layers [18]. Recently, in ordered ’-GaFeN nanocrystal arrays embedded in GaN, the transport of a spin-polarized current at temperatures below 10 K and an anisotropic magnetoresistance at room-temperature [19] larger than that previously observed for ’-FeN thin layers [20], were observed.
Further control over these embedded magnetic NCs can be achieved with the modification of their magnetic anisotropy through stress, by incorporating Al into the GaN buffer. The strain energies and piezoelectric effects at the GaN/AlGaN interface are expected to alter the formation energies and thermodynamic equilibrium conditions of the nanocrystals. In this way, size and shape engineering and the modification of the magnetic anisotropy energy are expected to generate a switchable out-of-plane magnetic anisotropy in the nanocrystals.
In this work, the effect of strain, induced by adding Al to the GaN buffer—i.e., in GaFeN/AlGaN (%) heterostructures—on the structural and magnetic properties of the Fe-rich nanocrystals embedded in GaFeN thin layers is investigated. It is observed that already 5% of Al added to the GaN buffer layer modifies not only the structural properties—phase, shape, size and orientation—of the NCs in comparison to those grown on a pure GaN buffer, but it also leads to a sizeable out-of-plane magnetic anisotropy. Through the addition of Al into the buffer layer, additionally to the ’-GaFeN NCs, the formation of -FeN NCs is promoted. The crystallographic orientation and the distribution of the two phases in the GaN matrix point at the formation of ordered hexagonal -FeN NCs elongated along the growth direction as the origin of the observed magnetic anisotropy.
2. Experimental Details
The layers considered in this work are grown in a metalorganic vapor phase epitaxy (MOVPE) Aixtron 200X horizontal reactor system (Aixtron, Achen, Germany) on c-plane AlO substrates using trimethylgallium (TMGa), trimethylaluminium (TMAl), ammonia (NH) and ferrocene (CpFe) as precursors. The 1 m AlGaN buffers are deposited at 1000 C on a 50 nm low-temperature (540 C) AlGaN nucleation layer annealed at 1000 C. The Al concentration is varied between 0% and 41% over the sample series by adjusting the Ga/Al ratio for the growth of the buffer layer.
After deposition of the AlGaN buffers, a 60 nm thick GaFeN layer is grown at 810 C following the -like procedure described in detail in Ref. [12] for GaFeN fabricated onto GaN. The GaFeN layers are covered by a nominally 20 nm thin GaN capping layer to avoid the segregation to the sample surface of -Fe upon cooling [19,21]. A schematic representation of the samples is reproduced in Figure 1a.
Figure 1.
(a): Architecture of the investigated samples. Cross-section TEM micrographs of the samples grown (b,c): on GaN, and (e,f): on AlGaN buffers, showing the embedded nanocrystals distributed in the GaFeN layer. (d,g): Plan-view TEM images of the two samples, revealing an increased dislocation network for the layer grown on the AlGaN buffer with respect to the layer grown on GaN.
Information on the layers’ structure, on and on the nanocrystals’ phases is obtained by high-resolution X-ray diffraction (HRXRD) carried out in a PANalytical X’Pert Pro Material Research Diffractometer (Malvern Panalytical, Nürnberg, Germany). The measurements have been performed in a configuration that includes a hybrid monochromator equipped with a 0.25 divergence slit, a PixCel detector using 19 channels for detection and a 11.2 mm anti-scatter slit. Rocking-curves acquired along the growth direction are employed to analyze the overall layer structure and the nanocrystals’ crystallographic phase. From the integral breadth of the (000l) symmetric and of the (204) asymmetric diffraction planes, an estimation of the dislocation density in the AlGaN buffer layers is obtained according to the procedure described by Moram et al. [22]. Reciprocal space maps (RSM) of the asymmetric (105) diffraction plane allow obtaining directly the in-plane a and out-of-plane c lattice parameters of the AlGaN buffer and of the GaFeN layers, as well as information on the strain state of the GaFeN layers. The is then calculated from the lattice parameters by applying the Vegard’s law [23].
The structural characterization has been completed by transmission electron microscopy (TEM) imaging using a JEOL JEM-2200FS TEM microscope (Jeol, Tokyo, Japan) operated at 200 kV in high-resolution imaging (HRTEM) mode. The TEM specimens are prepared in cross-section and plan-view by a conventional procedure including mechanical polishing followed by Ar milling. The prepared samples are plasma cleaned before being inserted into the TEM. The elemental analysis is performed via energy dispersive X-ray spectroscopy (EDX) of the specimens while measuring the samples in scanning TEM mode (STEM).
The magnetic properties are investigated in a Quantum Design superconducting quantum interference device (SQUID) MPMS-XL magnetometer (Quantum Design, Darmstadt, Germany) equipped with a low field option at magnetic fields H up to 70 kOe in the temperature range between 2 K and 400 K. The samples are measured in perpendicular and in-plane orientation. The dominant diamagnetic response of the sapphire substrate is compensated by employing a recently developed method for the in situ compensation of the substrate signals in integral magnetometers [24]. For the magnetothermal properties, measurements are performed at weak static magnetic fields following the typically employed sequence of measurements: zero-field-cooled (ZFC), field-cooled (FC), and at remanence (TRM). Both ZFC and FC measurements are carried out at Oe. Moreover, since the experimental magnetic signals are in the order of 10 emu, all magnetic measurements are carried out by strictly observing an experimental protocol for minute signals [25] elaborated to eliminate artifacts and to overcome limitations associated with integral SQUID magnetometry [26].
3. Results and Discussion
3.1. Structural Properties
The main structural differences between the GaFeN layers grown on GaN and those deposited on the AlGaN buffers are summarized in Figure 1, where the overall sample structure, including TEM cross-section and plan-view images for the reference sample ( = 0%) and for the sample with the highest Al concentration = 41% are reported. A comparison between the overview cross-section images presented in Figure 1b,e reveals a dislocation density in the AlGaN buffer larger than the one in GaN, affecting the nanocrystal distribution in the GaFeN overlayer. As a consequence, the NCs are not all localized in one plane like those embedded in the layer grown on GaN, as demonstrated in the TEM micrographs reproduced in Figure 1c,f. It is further observed that the majority of the NCs in the GaFeN/AlGaN sample form at the end of dislocations propagating from the buffer, in contrast to the NCs in the layer grown on GaN, which are embedded in the GaFeN matrix volume. This is visualized in the plan-view images presented in Figure 1d,g, where NCs with a round-shaped contour, distributed homogeneously in the plane with an average distance of (20–100) nm between nanocrystals, are observed. The NCs density increases from (5.0 ± 0.2) NCs/cm for the reference sample to (5.0 ± 0.3) NCs/cm for the sample grown on the AlGaN buffer. Besides an increased NC density, there is a complex dislocation network connecting the NCs observed for the GaFeN layer grown on the AlGaN buffer.
The nanocrystal phases are established from the HRXRD 2- scans collected along the growth direction and reported in Figure 2a for all samples. Besides the diffraction peaks from the GaFeN layer, from the AlGaN (%) buffer and from the AlO substrate, two additional diffraction peaks located around (41.28 ± 0.07) and (47.72 ± 0.07) are observed for all samples with Al in the buffer. The first diffraction peak is attributed to the (0002) plane of the hexagonal -FeN phase, while the second one origins from the (200) plane of the fcc ’-GaFeN phase. The calculated lattice parameters for the two FeN phases are (0.437 ± 0.002) nm and (0.381 ± 0.002) nm, respectively. These values lie in the range of the reported literature values for both phases: the hexagonal -FeN with a = 0.469 nm and c = 0.437 nm [27], and the fcc ’-GaFeN with a = 0.379 nm [15]. For the reference sample, only the ’-GaFeN phase is observed.
Figure 2.
(a) Radial 2- scans collected along the growth direction with the diffraction peaks identified for the AlGaN buffer, the GaFeN layers and the embedded nanocrystal phases [28,29]. (b) Close-up of the (0002) diffraction peaks of the AlGaN buffer and of the GaFeN layers. (c,d) Reciprocal space maps of the diffraction plane for the samples containing 5% and 41% Al in the buffer, respectively.
A close-up of the region around the (0002) diffraction peak of the GaFeN overlayer and of the AlGaN buffer is presented in Figure 2b, showing the shift of the buffer peak to higher diffraction angles with increasing Al concentration, pointing at a reduction in the c-lattice parameter. The position of the diffraction peak related to the GaFeN thin layer remains unchanged for the buffers with 10% and shifts to lower angles for increasing Al concentrations, i.e., larger c-lattice parameter. This suggests that the GaFeN layer is compressively strained on the AlGaN buffers.
To analyze the strain state and to obtain the in-plane a-lattice parameter, reciprocal space maps at the (105) diffraction plane are acquired. The RSM for the samples with buffers containing 5% and 41% of Al are shown in Figure 2c,d, demonstrating that while the GaFeN layer grows fully strained on the AlGaN buffer, it is partially relaxed on the AlGaN one. The in-plane percentage of relaxation of the GaFeN thin layer with respect to the buffer is obtained directly from the respective in-plane d-lattice spacings as [30]:
(1) |
where refers to the in-plane lattice spacings d. The values in the numerator are the measured ones and those in the denominator are the values for free-standing GaN and AlGaN according to the Vegard’s law. The calculated values for the samples considered here, are reported in Table 1, showing that for 10%, the GaFeN layers grow fully strained on the buffers and the onset of relaxation occurs at 10%. This is also evident from the lattice parameters presented in Figure 3a,b as a function of , where the lattice parameter a for the GaFeN layer is found to deviate from the one of the AlGaN buffer with 10%. The dashed lines in Figure 3a,b give the trend of the Vegard’s law and the dashed-dotted lines indicate the literature values for the lattice parameters for GaN [31]. Although the c-lattice parameter for the GaFeN layer is not significantly affected by increasing the Al concentration, a matches the one of the buffer until 10% and then deviates significantly, confirming the relaxation of the GaFeN thin layer. Considering that the GaFeN thin layer has only biaxial in-plane strain, the strain and stress tensors are calculated employing a linear interpolation between the value of the Young modulus E and the stiffness constants of GaN (E = 450 GPa, 2 = 0.509) and AlN (E = 470 GPa, 2/ = 0.579) [31]. The values reported in Table 1 show that independent of the Al concentration, the GaFeN layers are all under a comparable compressive strain.
Table 1.
List of investigated samples and their relevant parameters: Al concentration in the buffer; R degree of relaxation; out-of-plane and in-plane strain and stress in the GaFeN thin layer. The FeN nanocrystal phases identified by HRXRD and HRTEM are also listed.
R | FeN NCs Phases | ||||
---|---|---|---|---|---|
(%) | (%) | (%) | (%) | (GPa) | |
0 | 0 | −0.012 | 0.063 | −0.564 | ’-GaFeN |
5 | 0 | −0.012 | 0.063 | −0.564 | -FeN/’-GaFeN |
10 | 13 | −0.016 | 0.081 | −0.706 | -FeN/’-GaFeN |
22 | 67 | −0.018 | 0.093 | −0.847 | -FeN/’-GaFeN |
41 | 85 | −0.012 | 0.063 | −0.564 | -FeN/’-GaFeN |
Figure 3.
(a,b): Lattice parameters a and c of the AlGaN buffer (full squares) and the GaFeN layers (empty circles) vs.. The dashed line corresponds to the Vegard’s law and the dashed-dotted line indicates the literature values of the lattice parameters a and c for GaN [31]. (c) Dislocation densities—edge-mixed (full circles) and screw (empty stars)—in the AlGaN buffer layers estimated from XRD and TEM (half-filled squares) as a function of .
The (0002) diffraction peak of the AlGaN buffers presented in Figure 2b broadens with increasing Al concentration, pointing at an increment of defects and dislocation density in the buffer layers. In -oriented III-nitride films, three main types of threading dislocations are commonly observed: edge-, mixed- and screw-type. The analysis of the integral breadth of the diffraction peaks originating from the (000l) planes allows estimating the density of screw dislocations, while the one in the (204) plane provides information on the density of edge and mixed type dislocations [22]. According to Dunn and Koch, the density of dislocations is given by [32]:
(2) |
where is the integral breadth and b is the Burgers vector. This equation was previously employed to estimate the dislocation density in GaN thin films [33]. The dislocation densities obtained from HRXRD analysis for all buffer layers as a function of are reported in Figure 3c, where a linear increase is observed reaching values up to four times larger than those of the GaN buffer for both edge-mixed and screw dislocations in the buffer with the highest Al concentration. These results are consistent with the observations from the cross-section and plan-view TEM images shown in Figure 1. The dislocation density is also estimated from TEM micrographs, yielding larger values for the AlGaN buffers than those obtained from the XRD analysis, but following the same trend: the greater the concentration of Al in the buffer, the higher the dislocation density.
The increased dislocation density in the AlGaN buffers with 10% leads to the relaxation of the GaFeN thin layers. As observed in Figure 1f, a fraction of the dislocations from the AlGaN buffer runs throughout the entire GaFeN layer, promoting the aggregation of Fe along the defects and, therefore, the preferential formation of nanocrystals. Interestingly, the nanocrystals stabilized at the dislocations are predominantly elongated along the growth direction.
A more detailed analysis of the NCs sizes is performed on cross-section and plan-view TEM images. The size of the NCs is determined with an accuracy of ±0.5 nm by measuring the size of the areas where Moiré patterns are visible with the Fiji software [34]. The results are presented in Figure 4a–e, where the size distribution of 200 measured NCs per sample is reported. For this evaluation, the NCs are treated as ellipsoids according to the schematic representation in Figure 4f with dimensions perpendicular (A) and parallel (C) to the growth direction for the different in the buffers. The solid line marks the aspect ratio (AR) equal to 1, i.e., . From the size distributions presented in Figure 4, it is seen that the size of the NCs in the reference sample has a broader distribution and particularly a larger in-plane A than in the samples grown on the AlGaN buffers. Although the size of the NCs in the reference sample tends to lie on or below the solid line, indicating an AR≤1 and an oblate shape of the NCs—with their y-axis elongated in the plane of the layer—the size of the NCs in the layers grown on the AlGaN buffers lies above the solid line, i.e., with an AR>1, pointing at prolate NCs elongated along the growth direction. From the measured dimensions of the NCs, the average sizes parallel and perpendicular to the growth direction are estimated, confirming the decrease in the size perpendicular to the growth direction for the nanocrystals embedded in the GaFeN layers grown on the AlGaN buffers.
Figure 4.
Size distribution of 200 NCs measured in cross-section HRTEM for in the buffers equal to: (a) 0%, (b) 5%, (c) 10%, (d) 22%, and (e) 41%. The dimensions A and C correspond to the schematic representation depicted in (f) and correspond to half the size perpendicular and parallel to the growth direction, respectively.
Furthermore, it is found that in all samples the nanocrystals located at dislocation sites are predominantly prolate. This suggests that the increase in dislocation density for the layers grown on the AlGaN buffers promotes the formation of prolate NCs, which are mostly arranged in pairs aligned along dislocations, as shown in Figure 5a. In contrast, the oblate NCs are all located at the same depth in the layers.
Figure 5.
(a) Cross-section HRTEM image showing the distribution in pairs of prolate NCs along dislocations in the GaFeN/AlGaN sample. (b,c) HRTEM images of nanocrystals with double and single Moiré-patterns, respectively. (d) Fraction of NCs displaying SMP and DMP as a function of .
In addition to providing the size and phase, the characterization of the Moiré patterns (MPs) observed in the HRTEM micrographs yields further relevant information about the embedded NCs. The origin of MPs in general is the result of the overlap of two lattices with equal spacings that are rotated with respect to each other, or of the superposition of lattices with slightly different spacings. This leads to a pattern with Moiré fringe spacings with either single periodicity (line pattern) or double periodicity (grid-like pattern). Exemplary NCs showing a double and a single MP are presented in Figure 5b,c, respectively. The Moiré fringe spacings depend on the two underlying crystal structures, on their orientation relationship, and on the lattice strain. The fraction of nanocrystals displaying single MP (SMP) and double MPs (DMP) is shown in Figure 5d. Up to 78% of the NCs exhibit single MPs and 22% produce double MPs in the reference GaFeN grown on GaN buffer, while for the films grown on the AlGaN buffers this tendency is inverted. The double MP pattern is an indication of an in-plane misorientation of the NCs, which is related to the enhanced dislocation density in the underlying buffer layers and to the formation of the NCs along the dislocations, leading to slight distortions and strain within the GaN matrix.
The FeN phases identified in the HRXRD spectra depicted in Figure 2a are confirmed by HRTEM analysis. In HRTEM micrographs showing NCs, the regions of interests are Fourier transformed by Fast Fourier Transformation (FFT) using the Gatan Digital Micrograph (Gatan Inc.) software. Micrographs of two NCs are shown in Figure 6a,d along with the corresponding FFTs in Figure 6b,e. The FFT images are used to determine the lattice parameters by measuring the spacings in the two directions of the diffraction pattern. To identify the NCs orientation with respect to the GaN matrix, a comparison with the diffraction patterns simulated by the JEMS software is performed [35]. Employing this procedure, the investigated NC in Figure 6a is identified as -FeN oriented along the zone axis (ZA) , which is parallel to the ZA , and therefore corresponds to an epitaxial relation ‖. A schematic representation of the epitaxial relation is sketched in Figure 6c, showing that the NC is 30 rotated with respect to the crystallographic axis of GaN, but parallel to the one of the sapphire substrate, similarly to the fcc NCs studied in GaFeN/GaN layers [13]. The above procedure is applied to the NCs found in the reference sample and reproduced in Figure 6d, revealing the epitaxial relation ‖ presented in Figure 6f and previously reported for ’-GaFeN NCs in GaFeN layers grown on GaN [13]. The majority of the NCs found in the GaFeN layers grown on the AlGaN buffers are identified as the hexagonal -FeN phase, while those in the reference sample are associated with the cubic ’-GaFeN phase oriented preferentially as ‖, in agreement with the results from the XRD spectra presented in Figure 2a. From elemental composition analysis via EDX line-scans, the presence of Al in the GaFeN layers is ruled out as shown in Figure S1 (Supplementary Materials) of the Suplemental Material.
Figure 6.
Plan-view HRTEM images of exemplary FeN nanocrystals embedded in a GaFeN layer grown on (a) an AlGaN buffer, and (d) GaN. (b,e) FFT of the images presented in (a,d), respectively, showing the epitaxial orientation of the NCs with respect to the GaN matrix. The FFT in (c) corresponds to the NCs marked by the square in (a). (c,f): Schematic representation of the epitaxial relation in (b,e).
3.2. Magnetic Properties
In the previous section it has been demonstrated that the basic structural characteristics of the NCs change considerably with the incorporation of Al into the buffer layer. To shed light onto how the magnetic characteristics of the layers are modified by these structural changes, a comparative analysis of the magnetic properties of the reference GaFeN/GaN and the GaFeN/AlGaN samples is performed. As indicated in Table 1 and depicted in Figure 2, the former contains mostly ’-GaFeN NCs, which are characterized by a balanced distribution of prolate and oblate shapes, whereas in the latter, prolate -FeN NCs prevail over the ’-GaFeN ones.
The formation of the Fe-rich NCs in GaN is the direct consequence of the solubility limit of Fe in GaN being () cm or 0.4% at the growth conditions considered here [36,37,38]. Therefore, when the doping level exceeds this concentration, the Fe ions are found both in Ga substitutional sites as Fe and in the phase-separated NCs. The Fe-rich NCs form disperse ensembles of large ferromagnetic macrospins with specific size and shape distributions. In the absence of mobile carriers, the randomly distributed Fe ions, despite their high spin state (), do not interact in the relevant temperature range between 2 K and 400 K and exhibit paramagnetic properties. Due to the high diffusivity of transition metal ions in GaN, these paramagnetic ions are found diffusing a few hundreds of nanometres below the Fe--doped layer [39]. This substantially increases the total amount of the dilute Fe, making the intensity of the paramagnetic signal at low temperatures comparable to the one of the ferromagnetic NCs. Therefore, a dedicated experimental approach is required to distinguish between the two contributions.
The isothermal magnetization curves with the magnetic moment as a function of the applied magnetic field for the reference sample (%) are plotted for selected temperatures (solid symbols) in Figure 7. As mentioned, the bare magnetic signal consists of two distinct contributions. At temperatures above 50 K, the fast saturating response resembling a Langevin’s function at weak fields is attributed to the ferromagnetic NCs. However, the lack of a systematic T-dependency satisfying the scaling [40] and the presence of a weak magnetic hysteresis indicate that the majority of the NCs is not in thermal equilibrium and their magnetic response is affected by the presence of energy barriers and governed by their distribution. At temperatures below 50 K, the gains in strength and a slowly saturating contribution originating from the non-interacting Fe ions retaining their own magnetic moment dominates [37,38,41,42].
Figure 7.
(a) (Solid symbols) Isothermal magnetization curves of the reference GaFeN/GaN structure at selected temperatures. The open circles denote the difference , whereas the dashed line corresponds to the calculated difference of the respective Brillouin functions calculated for the paramagnetic Fe ions with cm. The solid lines mark the resulting magnitudes of of the NCs, after subtracting the paramagnetic component. The solid down–arrow indicates the degree of the reduction of due to the subtraction of the paramagnetic contribution. (b,c) and plotted as a function of total dislocation density D. The squares represent the reference GaFeN/GaN structure, the circles mark data for the layers grown on the AlGaN buffers. The corresponding concentration of Al in the AlGaN buffers is indicated in panel (b). Dashed lines in panels (b,c) are guide to the eye.
The paramagnetism of the Fe ions is described by the Brillouin function for [36,43,44], and the experimentally established difference between at, e.g., 2 K and 5 K permits the quantification of the ions’ contribution by fitting to with the procedure described in detail in Ref. [38]. The open circles in Figure 7 represent the experimental difference between at 2 K and 5 K, whereas the dotted line follows the magnitude of the expected change corresponding to several ions cm. The dashed line indicates the magnitude of the paramagnetic contribution corresponding to at 2 K.
Having established in each of the investigated structures, the paramagnetic contribution —where g is the g-factor and the Bohr magneton—is calculated and subtracted from the experimental data to obtain the magnitude of the magnetization corresponding to the NCs. The results are indicated by solid lines in Figure 7. It is worth noting that saturates at all investigated temperatures for kOe, confirming the ferromagnetic order within the NCs. The evolution of and as a function of the dislocation density is presented in Figure 7b,c, respectively. The former decreases, whereas the latter increases with the dislocation density, suggesting that the dislocations originating at the sapphire/AlGaN interface serve as preferential sites for the aggregation of the Fe ions. This is substantiated by the fact that the magnitude of in the reference structure and related solely to the layer nominally containing Fe, i.e., (60–100) nm, corresponds to () cm or % of Fe ions, largely exceeding the Fe solubility limit in GaN. Thus, the Fe ions are distributed across the entire depth in the structure of the reference sample, whereas in the layers grown on the AlGaN buffers a significant fraction of the Fe ions migrates to the dislocations, where they aggregate into the hexagonal -FeN NCs. Since the dislocation density is found to correlate with the Al content in the buffer, as presented in Figure 3c, the Al content in the AlGaN buffer is instrumental to control both the substitutional Fe atoms concentration and the strength of the ferromagnetic signatures related to the NCs.
The temperature dependence of the saturation magnetization of the ferromagnetic signal specific to the NCs for the layer grown on the AlGaN buffer (circles) and for the reference one (squares) is reproduced in Figure 8. These dependencies are established upon performing a analysis similar to the one exemplified in Figure 7 (solid symbols), as well as from direct continuous sweeping of T at kOe (open symbols). This allows quantifying the temperature dependence of the saturation magnetization of the ’-GaFeN and -FeN present in the structures.
Figure 8.
(a) Comparison of the temperature dependence of in the studied GaFeN layers grown on a GaN buffer (squares) and grown on a AlGaN buffer (circles). Solid symbols: inferred from the isotherms. Open symbols: direct continuous sweeping of T at kOe. (b) Temperature dependence of the saturation magnetization of the two FeN compounds formed due to the epitaxy of the GaFeN layers. The solid lines mark two classical Langevin functions rescaled to follow the corresponding experimental result for K K. The dashed lines are Brillouin functions rescaled to reproduce the corresponding magnitudes of and .
To quantify the magnetization of the NCs, their average volume is estimated from the size distribution shown in Figure 4 and the average densities established from TEM by taking into account that (50-70)% of the prolate NCs in the GaFeN/AlGaN structures grow in pairs along the dislocations, as shown in Figure 5a. The estimated values of the NCs magnetization are emu/cm for the NCs in the reference sample containing ’-GaFeN NCs, and emu/cm for the NCs present in the GaFeN/AlGaN structure, where about 80% of the NCs are -FeN and 20% are ’-GaFeN. These values are consistent with those estimated from ferromagnetic resonance measurements [17], shown in Figure S2 of the Suplemental Material, and in good agreement with the respective ranges of reported in the literature for these compounds. For ’-FeN, the ranges between 1500 emu/cm and 2000 emu/cm[2,45,46,47], so that the values obtained for the ’-GaFeN NCs considered here point at high crystallinity and low dilution by Ga, i.e., . For the layer grown on the AlGaN buffer the established, taking into account a 20% contribution of ’-GaFeN NCs, yields a corrected value of emu/cm for the -FeN NCs, consistent with previous studies [2,5,48,49,50,51,52,53,54].
The resulting magnitudes of for both compounds are represented as solid symbols in Figure 8b. The experimental trends of for both FeN compounds are compared with the spontaneous magnetization calculated as a function of T based on the molecular field theory in the classical limit and with the Langevin function , i.e., corresponding to a large magnetic moment of the NCs (solid lines). It is observed that the low-T fast drop of starting at K, is indeed well captured by , and could not be reproduced by a Brillouin function. For comparison, the functions are added to Figure 8b as dashed lines. The is then extrapolated to assess the of the NCs in each sample.
In the reference sample containing mostly ’-GaFeN NCs a K is found, i.e., about 100 K lower than the values reported for Ga-free ’-FeN of K [47] and 767 K [6]. This is attributed to a partial replacement of the Fe ions by Ga, which leads to a magnetic dilution and randomization of spins breaking down the ferromagnetic order [15,55]. However, the Ga incorporation is minimal, since the ternary GaFeN is weakly antiferromagnetic [15]. The same extrapolation method yields K for the layer grown on the AlGaN buffer, which contains predominantly -FeN NCs and a limited amount of ’-GaFeN. No quantitative conclusion about the of -FeN NCs can be made, nevertheless it can be stated that its value is significantly greater than the previously reported 575 K [5] and (500–525) K [53,56]. This result is relevant, since despite the high potential of -FeN for spintronics [5], the technological development of this material has been limited by its high chemical reactivity and by challenges in obtaining the required stoichiometry [57]. The magnitude reported here for -FeN NCs points, on the other hand, to the possibility of stabilizing, in a controlled fashion, relevant FeN nanostructures in a GaN matrix.
The magnetothermal behavior of these ensembles of NCs traced for two orientations of H, i.e., parallel (full symbols) and perpendicular (open symbols) to the film plane is shown in Figure 9a and follows a trend specific to ferromagnetic nanoparticle ensembles previously reported for Fe-rich NCs stabilized in GaN [18,37,38]. These features indicate that independently of the orientation, a specific distribution of energy barriers for the ferromagnetic moment reversal determines the response in the whole temperature range. Here is the effective magnetic anisotropy energy density specific to a given NC with volume . The effect is particularly significant in the GaFeN/AlGaN layer for . This finding demonstrates that the predominantly prolate character of the -FeN NCs in the layers grown on the AlGaN buffers dramatically affects the magnetic anisotropy (MA), which will be treated in detail later.
Figure 9.
(a,b) ZFC, FC and the calculated temperature derivative of the thermoremanence magnetization (TRM): in the studied GaFeN structures grown either on GaN or on the AlGaN buffer. (c) Superparamagnetic limit distribution in the GaFeN/GaN structure calculated based on the size and shape distributions of the NCs taken from Figure 4a. (d) Direct measurement of TRM in GaFeN/AlGaN after cooling down in a saturating kOe and (e) its T–derivative. The dashed lines in (d) point to the superparamagnetic limit of about 500 K.
For an ensemble of non-interacting magnetic NCs the temperature derivative of the thermoremanence magnetization (TRM) provides qualitative information on the distribution in the ensemble [58]. From , the is calculated and displayed in Figure 9b, with non-zero values in the whole T-range and exhibiting a peak at around 50 K. From this, the magnitude of the superparamagnetic limit in the layers is quantified. Here, is the temperature above which a given magnetic NC or an ensemble of NCs is in thermal equilibrium and is defined by [59], where is the Boltzmann constant and the numerical factor 25 corresponds to the typical magnetometry probing time of 100 s.
Due to the fact that all considered layers contain ’-GaFeN NCs, their size distribution is taken into account. For each NC, the individual , where erg/cm is the magnitude of the cubic magnetocrystalline anisotropy parameter of ’-FeN [60], is calculated. The positive sign indicates that the magnetic easy axes are directed along the direction, which is parallel to the c-axis of GaN. The shape contribution to the MA for each NC:
(3) |
is determined by the difference of the demagnetizing coefficients N of the considered nanocrystals according to the ellipsoid with semi-axes A and C [61]. The experimental magnitude of emu/cm established here is employed, considering that the main crystallographic axes of the NCs and their axes of revolution are aligned with those of the host lattice. The magnitudes of and can be added with the that all NCs with negative values of are discarded. This is because for the easy plane of the magnetization M rotates smoothly by 180o to facilitate the reversal and the NCs are at thermal equilibrium at any T, thus not contributing to TRM. Based on the data presented in Figure 4a, as much as 50% of the NCs belong to this category, a decisive factor for understanding the magnetic softness of the ensembles of NCs [18,19,24,37,38]. The large number of NCs in equilibrium explains also the low magnitude of (and ), i.e., less than 20% of the total saturation value. Finally, for nearly spherical NCs (), where the cubic prevails, is set, as expected for cubic anisotropy exhibiting magnetic easy axes oriented along the family of directions () [62]. The calculated distribution as a function of the is depicted in Figure 9c and is in agreement with the experimental data in Figure 9b. The calculated distribution peaks around 40 K, decreases at higher temperatures, and remains non-zero up to 400 K, as found experimentally.
The non-conventional behavior of and of the GaFeN/AlGaN structure probed for indicates that even at K the field of 100 Oe is too weak to overcome the energy barriers. Therefore, direct TRM measurements to establish the actual magnitude of the low–T are performed. To this end, the sample is cooled down at a saturating field of 10 kOe to K, then the field is quenched and at the TRM measurement is performed while warming up. For comparison, the same sequence is executed for . The results and their T-derivatives are presented in Figure 9d,e, respectively. The magnitude of the irreversible response increases for the perpendicular orientation (empty symbols) to about 80% of the total magnetic saturation. Taking into account the significant MA of hexagonal -FeN and the much weaker one of cubic ’-GaFeN, the 80% level is taken as a coarse estimate of the relative content of the -FeN NCs in the layer grown on the AlGaN buffer.
Both TRMs remain non-zero even at 400 K. By extrapolating the curves to zero, with the maximum value of located at 500 K. This procedure is valid because the derivatives increase as K. Interestingly, the T-derivative of for the in-plane configuration is featureless and larger than the one established at low fields in the ZFC and FC measurements, suggesting that in these two measurements two different subsets of NCs determine the response.
The normalized magnetization of the layers as a function of the magnetic field is presented in Figure 10a,b, where both and show the sensitivity of the magnetization to the orientation of H for the reference structure and for the GaFeN/AlGaN layer, respectively. The measured saturates beyond kOe and does not significantly depend on H in the whole studied T-range, as demonstrated earlier in Figure 7a for the reference sample and in previous studies [19,24]. A similar behavior is observed for all the layers deposited on the AlGaN buffers.
Figure 10.
Normalized magnetization acquired at 2 K for the two magnetic field configurations (circles) and (diamonds) for (a) the reference sample, and (b) GaFeN/AlGaN. The at 300 K as a function of the magnetic field is depicted in the insets. The vertical arrows mark an inflection point on separating two different contributions to M during its reversal. The empty arrow marks the coercive field of the whole ensemble, whereas the lengths of the two full arrows indicate the average coercive field of the prolate part of the distribution. (c) Magnetic anisotropy obtained for the GaFeN/AlGaN sample acquired at selected temperatures. (d) Magnitudes of established from the area under the curves in (c) plotted as the function of (diamonds) and of of -FeN (bullets). Solid lines mark the proportionality of both and to . (e) Temperature dependence of of -FeN.
It is worth underlining that the main symmetry axes of the -FeN NCs are fixed in the direction of the c-axis of GaN, i.e., perpendicular to the sample plane, which is essential for modelling the results. The uniaxial magnetocrystalline anisotropy (UMA) of the hexagonal -FeN NCs was found to be between (0.5–1) emu/cm[54] with the easy axis along the -direction. Due to preferential nucleation along the dislocations, the distribution of shapes of the -FeN NCs is highly asymmetric, adding a sizeable shape contribution to the native crystalline UMA of -FeN. The data presented in Figure 4c yield the average elongation for the prolate part of the distribution, what, according to Equation (3) and emu/cm, points to erg/cm, which represents the most relevant contribution to the overall MA of this ensemble.
The large UMA along the growth direction is the origin of the pronounced squareness and the resemblance of the experimental to the perpendicular magnetic anisotropy of bulk ferromagnets and layered structures. This is further demonstrated by the hard-axis-like shape of . The magnitude of the UMA exerted by the considered ensemble of NCs is calculated by taking the experimental difference , plotted for selected temperatures in Figure 10c. By definition, the area under the yields the magnitude of . The established magnitudes are plotted against the corresponding magnitudes of in Figure 10d (diamonds). The nearly linear relationship confirms the significant UMA in this ensemble, allowing the direct determination from Equation (3) of of -FeN from the T–dependence of (Figure 8). The resulting magnitudes of established at all the measured temperatures, are shown in Figure 10e (bullets). This is the first direct determination of the absolute magnitudes of of -FeN in such a broad and technologically relevant temperature range up to 400 K.
On the other hand, as indicated in Figure 10b, the magnetization process in the GaFeN/AlGaN structures is based on two rather independent switching processes. This is seen at the two temperatures exemplified in Figure 10b. The K case, where the thermal activation contribution to can be neglected, is considered in detail. Here, about a third of the total magnetization of the NCs switches at very weak fields. This process completes at weak negative fields, where a kink is seen in at about kOe, marked by the arrows at . Up to about 30% of the total M has switched or rotated to the new direction of H. This is the result of a narrow band of weak switching fields brought about by the minority of the oblate NCs (which nominally reverse M at ) and of several cubic ’-GaFeN NCs, which reverse M at weak fields, as demonstrated in Figure 10a. For the remaining 70% NCs, the switching process begins after passes and these are the prolate -FeN NCs, which, due to their generally high require larger magnitudes of H to overcome the individual anisotropy fields . Since the majority of the NCs is in the single domain state, the different magnitudes of contribute to a broad distribution of switching (coercive) fields , resulting in the wide for . From the magnitude of , kOe at low temperatures is obtained and it is also extrapolated directly from the curve in Figure 10b. Since the reversal process of M of the prolate fraction of the NCs ensemble in the GaFeN/AlGaN structures starts after the magnetically soft part of the ensemble has reversed, the cannot be determined at . The after is assigned to the prolate -FeN, marked by the arrows in Figure 10b, from where the corresponding can be obtained. It is worth noting that the difference in between the two branches of corresponds to the magnitude of the soft part of M which switches within , i.e. the magnetically hard part of corresponding to the prolate NCs is broken up by the magnetically soft component of the distribution.
4. Conclusions
Strained and partially relaxed GaFeN thin layers grown on AlGaN buffers by MOVPE reveal the formation of hexagonal -FeN and fcc ’-GaFeN nanocrystals epitaxially embedded in the GaN matrix. The GaFeN layers are strained for an Al concentration in the buffer up to 10% and then relax up to 85% for an Al concentration of 41%. With increasing Al content, an increase in the dislocation density in the buffer layers is observed, together with a preferential aggregation of nanocrystals along the dislocations in the GaFeN layers. The NCs have either oblate or prolate shape, with the majority of the NCs being prolate. Both nanocrystal phases are coherently embedded into the surrounding GaN matrix with an epitaxial relation: and for the -FeN NCs, and and for the ’-GaFeN NCs.
The magnetic response of the layers is consistent with the one previously found for phase-separated (Ga,Fe)N consisting of two components: a dominant paramagnetic low-T contribution from Fe ions dilute in the GaN matrix and in the buffer volume, and a ferromagnetic one dominant above 50 K originating from the ’-GaFeN and the -FeN embedded NCs [37,38]. The low–T contribution of the Fe ions to the total magnetization reaches magnitudes comparable to those of the NCs. The of the reference layer containing solely ’-GaFeN is found to be K, pointing at the inclusion of Ga into the NCs and therefore lowering the with respect to one of ’-FeN [6]. Due to the formation of additional -FeN in the GaFeN/AlGaN layers, is increased to K, indicating a high crystalline and chemical quality of the NCs. Moreover, the calculated magnetization of the NCs is consistent with literature values. The magnetization process in the GaFeN/AlGaN structures is based on two substantially independent switching processes: a relatively fast switching of the oblate and ’-GaFeN NCs at low fields, followed by the switching of the -FeN NCs, which require larger magnitudes of H to overcome the individual anisotropy fields. All GaFeN layers grown on the AlGaN buffers exhibit a sizeable uniaxial magnetic anisotropy with the easy axis matching the c-axis of the hexagonal -FeN NCs and the growth direction of the layers. This suggests that the formation of ordered elongated hexagonal -FeN NCs along the dislocations in the AlGaN buffers is responsible for the observed out-of-plane magnetic anisotropy. The finding is substantiated by the value of obtained directly from the normalized magnetization for that is well reproduced by the calculated value obtained considering the of the prolate -FeN NCs. Significantly, this is the first direct determination of the absolute magnitudes of of -FeN in a broad and technologically relevant temperature range up to 400 K.
According to these findings, GaFeN/AlGaN heterostructures provide a controllable housing for stabilizing ordered arrays of ferromagnetic FeN compounds, opening wide perspectives for spin injection in these phase-separated material systems and for the electric-field manipulation of the magnetization [63].
Acknowledgments
The authors greatly acknowledge Werner Ginzinger for his extensive work in the sample preparation and on TEM measurements. Open Access Funding by the Austrian Science Fund (FWF).
Supplementary Materials
The following are available at https://www.mdpi.com/1996-1944/13/15/3294/s1, Figure S1: EDX line-scans vs.depth, and Figure S2: Angular dependence of the FMR signal.
Author Contributions
Conceptualization, A.N.-Q.; Data curation, A.N.-Q.; Formal analysis, A.N.-Q., K.G., T.T., V.B., M.M., D.K., A.N., H.G. and M.S.; Funding acquisition, A.N.-Q., H.G., M.S. and A.B.; Investigation, A.N.-Q., K.G., T.T., V.B., M.M., D.K. and M.S.; Resources, A.N.-Q.; Visualization, A.N.-Q.; Writing—original draft, A.N.-Q., T.T., K.G. and M.S.; Writing—review and editing, A.N.-Q. and A.B. All authors have read and agreed to the published version of the manuscript.
Funding
The work has been funded by the Austrian Science Fund FWF Projects No. V478-N36, P26830 and P31423, and the Austrian Exchange Service (ÖAD) Project No. PL-01/2017 (DWM.WKE.183.72.2017). The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association is gratefully acknowledged.
Conflicts of Interest
The authors declare no conflict of interest.
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