research papers
In situ compression of micropillars under coherent X-ray diffraction: a case study of experimental and data-analysis constraints
aInstitut Pprime, CNRS – Université de Poitiers – ISAE ENSMA, 11 Boulevard Marie et Pierre Curie, Téléport 2, 86073 Poitiers Cedex 9, France, bPaul Scherrer Institut, Forschungsstrasse 111, 5232 Villigen, Switzerland, cLaboratoire de Physique des Solides, 1 rue Nicolas Appert, Bâtiment 510, 91405 Orsay Cedex, France, dEuropean Synchrotron Radiation Facility, 71 Avenue des Martyrs, 38000 Grenoble, France, and eSynchrotron SOLEIL, L'Orme des Merisiers, Saint-Aubin, BP 48, 91192 Gif-sur-Yvette, France
*Correspondence e-mail: pierre.godard@univ-poitiers.fr
Micropillar compression is a method of choice to understand mechanics at small scale. It is mainly studied with i.e. their support) are studied in situ during compression. Firstly, an experiment using a collimated beam matching the pillar size allows determination of when the sample enters the plastic regime, independently of small defects induced by experimental artefacts. A second experiment deals with scanning X-ray diffraction maps with a nano-focused beam; despite the coherence of the beam, the contributions from the pedestal and from the micropillar in the diffraction patterns can be separated, making possible a spatially resolved study of the plastic strain fields. A quantitative measurement of the elastic strain field is nevertheless hampered by the fact that the pillar diffracts at the same angles as the pedestal. Finally, no image reconstructions were possible in these experiments, either in situ due to a blurring of the fringes during loading or post-mortem because the defect density after yielding was too high. However, it is shown how to determine the elastic bending of the pillar in the elastic regime. Bending angles of around 0.3° are found, and a method to estimate the sample's radius of curvature is suggested.
or white-beam micro-Laue X-ray diffraction. The aim of the present article is to show the possibilities of the use of diffraction with a coherent X-ray beam. InSb micropillars in with their pedestals (Keywords: coherent X-ray Bragg diffraction; micropillars; compression; in situ; InSb.
1. Introduction
In 1924 it was observed that the tensile strength of wires increases when the diameter decreases in the micrometre and sub-micrometre range (Taylor, 1924). Since then, the and/or fracture stress of single crystals have been quantified as functions of the object size and crystal quality (Brenner, 1956; Uchic et al., 2004; Gruber et al., 2008; Richter et al., 2009; Kiener et al., 2011). However, several complementary methods are needed to fully understand the mechanical behaviours of micro-crystals. For example, in situ offers insights on the plasticity mechanisms, like dislocation nucleation, escape at free surfaces or cross slip (Oh et al., 2007, 2009); in situ (SEM) allows determining the activated slip systems and their location (Kiener et al., 2008; Thilly et al., 2012), a set of information also provided by scanning Laue micro-diffraction; and the latter also gives clues on strain gradients and initial defect content (Maaß et al., 2007; Kirchlechner et al., 2012). The purpose of the present article is to illustrate how a relatively new technique, coherent X-ray diffraction (CXRD) (Vartanyants & Robinson, 2001), may be used to obtain insights on the deformation during the compression of a micropillar. The main difficulty lies in the fact that the micropillar and the pedestal diffract at the same angles; hence, three different experimental setups are presented and their complementarity is discussed.
In the Bragg geometry, CXRD is a nondestructive tool that is very sensitive to crystalline defects and strain gradients in samples from tens of nanometres to a few micrometres thick. When the acquisition allows retrieving the phase of the diffracted field, whether with a support constraint for a nano-particle [a technique called BCDI, for Bragg coherent diffraction imaging (Pfeifer et al., 2006; Clark et al., 2013; Labat et al., 2015; Hofmann et al., 2017)] or with scanning of a focused beam with a sufficient overlap between each adjacent step [i.e. Bragg ptychography (Godard et al., 2011; Hruszkewycz et al., 2012; Chamard et al., 2015; Pateras et al., 2015)], three-dimensional strain images with a resolution down to ∼10 nm may be obtained. Furthermore, due to its acquisition time being of the order of 10–30 min, BCDI allows in situ imaging of slow processes (Ulvestad et al., 2015; Dupraz et al., 2017). However, BCDI is limited to isolated objects, while Bragg ptychography requires long acquisition times that are problematic in terms of the setup stability, radiation damage and monitoring responses to external perturbations. A much more versatile method consists of directly comparing the diffraction patterns collected in CXRD with simulated data. Statistical information on the number of defects may be retrieved (Chamard et al., 2008; Favre-Nicolin et al., 2010; Jacques et al., 2013), or, for a very small number of defects, their type may be determined (Jacques et al., 2011; Dupraz et al., 2015). Recently, it has also been used to investigate the elastic strain during tensile tests on nano-wires (Lazarev et al., 2018; Shin et al., 2018).
For demonstration purposes, we chose indium antimonide (InSb) single crystals, whose plasticity properties are known to greatly differ according to sample size (Kedjar et al., 2010a,b). Like most III–V semiconductors, InSb is brittle at room temperature and atmospheric pressure in the bulk state, but exhibits ductile behaviour at the micro-scale (Thilly et al., 2012). This is due to the plasticity mechanism: at room temperature InSb deforms via leading partial dislocations whose sources are activated only once. In the bulk state, the sources are not numerous enough to accommodate an applied strain larger than a few per cent, so macroscopic samples are brittle. As the size of the sample decreases, each dislocation nucleation event introduces a larger increment of plastic strain, and InSb pillars show a ductile behaviour when the diameter is smaller than ∼20 µm. In single-crystalline micropillars, it has been observed that the partial dislocations leave the sample, resulting in a band of isolated stacking faults that spread from top to bottom of the pillar (Thilly et al., 2012). A consequence of the emission of a single dislocation per source is that there are no dislocation avalanches, and so no load drops or strain burst in the stress–strain curve. Compression tests on InSb micropillars are thus highly reproducible, and this material serves as a model system for the development of methodological tools for the study of plasticity at small scales (Wheeler et al., 2016; Verezhak et al., 2018).
The micropillars (MP) of the present study were prepared by Ga+ ion milling on single-crystalline InSb wedges. They have square cross sections and an aspect ratio of 3:1. Three samples were studied: MP3.5 for the experiment with the micro-beam, and MP′2 and MP′′2 for the experiments with the nano-focused beam. The subscript denotes the length (in micrometres) of the edge. SEM images of the virgin pillars are shown in Figs. 1(a) and 3(a). All the samples have the same crystallographic orientation, given in Fig. 1(b). This orientation induces slip in a single slip system.
The article is organized as follows. Section 2 shows results with a micro-beam. For reasons detailed below, no three-dimensional reciprocal-space maps could be analysed and we are reduced to studying sections of the Bragg peak. Then experiments with a nano-focused beam are reported: scanning X-ray diffraction microscopy (SXDM) in Section 3 and a method to quantify the elastic bending of the pillar under deformation in Section 4. Finally, we discuss the possibilities and the difficulties of in situ CXRD for micro- and nano-mechanics characterization. Additional information about sample preparation and mechanical tests is given in the supporting information.
2. Observation of very first defects with a micro-beam
The first experiment was performed at the Cristal beamline of the synchrotron radiation source SOLEIL, France. A monochromatic beam with a central energy E = 8.500 keV (corresponding wavelength λ = 1.459 Å and energy resolution ΔE/E = 1.4 × 10−4 leading to a longitudinal coherence length of about λE/2ΔE ≃ 0.5 µm) was defined with a secondary source (200 × 100 µm large) (vertical times horizontal) at 13 m from the sample. Then slits opened to 10 × 10 µm and positioned 0.2 m upstream of the sample location selected a portion of the beam approximately the size of the micropillar. To evaluate the range of incident angle characterizing the X-ray beam, we give the Fresnel numbers NF = a2/4λr associated with the slits, where a is the slit aperture and r is the propagation distance; it is generally admitted that Fraunhofer diffraction (or the far-field regime) occurs when (Goodman, 2004). For the slits , we have NF ≃ 5.3 in the vertical direction and NF ≃ 1.3 in the horizontal direction, so we can suppose that the field incoming on the slits is well collimated. For these slits, we have NF ≃ 0.9 at the sample position. Hence, despite the presence of Fresnel fringes, the incident beam may still be considered as being parallel.
Our micro-compression device imposed that the micropillar was placed vertically. The first studied sample was MP3.5 with L × W × H = 3.5 × 3.5 × 10.5 µm and the crystalline orientation given in Fig. 1(c).
The Bragg peak was followed in situ during the compression tests. The diffracting planes were vertical, which allows an easy interpretation of the directions of the peak shifts (see below). The incident beam was at θB = 11.23° from the direction; the small value of θB limited the attenuation due to polarization. A Maxipix detector was placed 2.15 m after the sample. It contains 516 × 516 square pixels of 55 µm size. The Fresnel number associated with the propagation from the sample to the detector is NF ≃ 0.02 [with a = 3.5(2)1/2 µm], which is well into the far-field regime.
The pillar and the pedestal, being milled from the same single-crystalline wedge, both diffract at the same incident and diffraction angles. Furthermore, due to the size of the micropillar and the micro-beam, the latter was simultaneously diffracted by the pillar and by its pedestal. However, when loading, one knows that the pillar deforms significantly more than the pedestal because of the (c), the horizontal direction q2θ on the detector is close to the direction and thus approximately probes the lattice parameter evolution. The vertical direction is parallel to ; a shift of the peak along that direction corresponds to a bending of the pillar around the axis . The Bragg peak can also move along qx, associated with a twist (or torsion) around the vertical direction .
difference. The Poisson effect induces an increase of the probed lattice parameter and the diffracting planes may rotate. As shown in Fig. 1Performing traditional rocking curves with a scan of the incident angle ω was impossible under load: any rotation (like any translation) would induce large vibrations on the sample that would immediately lead to the sample failure. Hence, the twist was monitored with energy scans, but with a limited range. Finally, the reflection caused by a harmonic of the monochromator adds another peak overlapping the peak of interest. We are thus limited here to a qualitative description of the micropillar behaviour during the compression test.
Fig. 2 shows diffraction patterns at some points of a load–unload series, at a fixed energy of 8.500 keV and with an acquisition time of 0.5 s. The three loading states of l1, l2 and l3 were observed for applied forces of 4000, 6500 and 7000 µN, corresponding to stress values of 330, 530 and 570 MPa, respectively. As we will see, these applied forces cover the full regime, from the elastic regime, to the first signs of plasticity (most probably at the top of the pillar), and finally to the plastic regime. The applied force of 7000 µN was the highest load applied to this pillar. For each load li, we also show the state ui that is the unloaded state just after li.
The unloaded state u1 displays a typical coherent diffraction pattern with well defined fringes. They are separated by an average value of 5.5 µm−1, which corresponds to 1.15 µm in the sample space. We assume that this distance is due to the Fresnel fringes in the incident beam. However, it is striking how the speckles are blurred under load (compare l1 with u1 in Fig. 2). This shows how the coherence of the recorded diffraction signal is degraded while compressing the sample, even in the elastic regime. This complete blurring of the fringes appears as soon as a few tens of micronewtons are applied to the micropillar. We attribute this to tiny vibrations induced by the compression tip or to small defects that move during the loading; if these defects move sufficiently fast, the measured diffraction pattern is an incoherent sum of the different configurations that occur during the integration time. Hence, with this setup, CXRD does not seem appropriate for studying a continuous loading, and the load–unload series is necessary.
Another observation comes from the peak splitting under load, seen in l1, l2 and l3. As explained above, this splitting along q2θ is induced by the change of lattice parameter in the direction. The elongated peak on the left-hand side of the patterns corresponds to the compressed micropillar. The pillar peak is at lower 2θ values, which corresponds to larger values. The more localized peak is the pedestal contribution, whose very large section almost prevents any deformation at this force value. As a consequence, the pedestal peak does not significantly change for the different loads (from l1 to l3), remaining very compact and displaying the characteristic diffraction pattern of a large and perfect crystal illuminated by an almost square-shaped X-ray beam. As we might expect, the peak associated with the pillar changes under these small loads: it broadens in the vertical direction, evidencing a bending. This is clearly reversible, as monitored in u1 and u2. Finally, the pillar peak appears much fainter in l2 and l3 than in l1. This is due to a slight sample misorientation (torsion) from the perfect diffraction condition, a particularly stringent condition when the incident beam is parallel.
When unloading to the u1 or u2 states, the pillar and pedestal peaks overlap again, showing that, overall, the pillar returns to its initial crystallographic orientation. Up to 530 MPa (state u2), the patterns do not change drastically in the unloaded state. However, the intensity decreases and the fringes are lost, which is attributed to the appearance of small crystalline defects or to the slow drift of the setup. Conversely, a clear streak along qz occurs after the loading at 570 MPa (state u3) due to coordinated plastic defects stored in the pillar. The post-deformation SEM image shown in Fig. 1(b) confirms that u3 corresponds to an unloaded state after an excursion into the plastic regime: while the virgin pillar has straight faces, it clearly presents irreversible deformation in the post-mortem image. The SEM observation angle allows one to detect an obvious bending, but the twist is visible as well.
The main advantages of this setup are (a) that illuminating the whole pillar at once allows for a quick characterization of the behaviour of the sample, which can be useful in experiments where the initial response of the sample to an external perturbation must be determined; (b) that the entire compressed crystal and the reference crystal (the pedestal) are simultaneously diffracting on the detector, the pedestal being a good reference to track the displacements of the diffraction peak from the pillar; and (c) that a highly collimated beam is very sensitive to lattice strain. The corresponding disadvantages are twofold. First, looking at the whole pillar may lead to difficulties in interpreting the diffracted signal, e.g. the defects appearing at the top of the pillar due to a slight misalignment between the sample and the compression tip may hide the volume defects that the test aims at uncovering. Second, the detector arm was mechanically connected to the sample stage, hence prohibiting detector movement under load, since the resulting vibrations would have been fatal to the pillar. Hence, it is not only classical rocking curves that are impossible but also energy scans with sufficient ranges: when the energy changes, the diffraction angle shifts and so does the pattern on the detector, allowing only a very small region in to be probed. For these reasons, we complemented this experiment with another in situ CXRD beam time, this time with a nano-focused beam, and with a decoupled detector arm, so that its position could be adjusted at each step of a scan in beam energy. The results are presented in the next two sections.
3. Separation of pedestal and pillar peaks
With the pedestal being tens of micrometres thick, its volume is so large compared with the micropillar that its diffraction signal is often overwhelming even if it is illuminated only with the tail of a nano-focused beam centred on the pillar. To allow a separation of the pillar and the pedestal contributions, we performed nano-diffraction on a highly deformed pillar (in situ and post-mortem energy scans and post-mortem SXDM). This pillar, MP′2, L × W × H = 2 × 2 × 6 µm, was loaded up to 2440 µN, and the force–displacement curve showed that yielding occurred at ∼2000 µN, corresponding to 500 MPa, confirming the value obtained for the pillar studied in the previous section. As a check, we can clearly see that the pillar is deformed from top to bottom in the post-mortem image of Fig. 3. In this image, we also observe that cracks have appeared at the pillar's top.
Nano-beam X-ray diffraction measurements were carried out at beamline ID01 of the European Synchrotron Radiation Facility (ESRF), France. The beam energy of 8.000 keV was defined by an Si(111) double-crystal monochromator with a resolution of ΔE/E = 1.4 × 10−4. For beam focusing, a pair of bendable Kirkpatrick–Baez mirrors were used, which are achromatic optics and therefore allow energy scanning without changing the optics. The optics aperture was reduced to 200 and 60 µm in the vertical and horizontal directions, respectively, to match the coherence lengths of the beam. Two-dimensional forward ptychography on a well characterized test object (a Siemens star) reconstructed the X-ray probe profile and determined a beam size of ∼235 × 385 nm [vertical times horizontal, full width at half-maximum (FWHM) of the intensity] at the focal position (see Fig. S.M.1 of the supporting information). The setup for the sample holder and micro-compression machine was similar to the one used at the Cristal beamline. The Maxipix detector was mounted 1.41 m downstream of the sample, on a detector arm that is independent of the sample rotational and translational stage. As for the sample MP3.5, the diffraction peak was probed.
Fig. 4(a) shows a diffraction pattern at an unloaded state u′1, which occurs after a loading to 2200 µN (550 MPa). The beam was positioned at the centre of the pillar. We see a small spot towards the bottom of the detector and an intense tail. This tail shows at least one secondary peak; since this peak is observed after retraction of the compression tip, it corresponds to an irreversible bending of the pillar, that is to a reorientation induced by plasticity.
If the load increases to 2440 µN (state l′2, 610 MPa), we recover what was observed in Fig. 2: the fringes are completely blurred under load. Other streaks appear post-mortem (state u′2), evidencing a multiplication of defects. The force of 2440 µN is the highest load applied on MP′2, so the SEM image in Fig. 3(b), as well as the SXDM map in Fig. 5, corresponds to the u′2 state.
Three-dimensional reciprocal-space maps were obtained by performing energy scans from 7.800 to 8.600 keV, with a step of 5 eV and a per-step acquisition time of 1 s. During the energy scan, the detector was moved in order to keep the main peak on the same pixel, so that the resulting set of images is similar to a rocking scan (Lauraux et al., 2020). The integration along qx and q2θ is shown in Fig. 4(b). The peak at the bottom of the detector (taken as the reference q2θ = qz = 0) does not move, whether under load or after retraction (states u′1, l′2 and u′2), a first indication that it corresponds to the pedestal. On the other hand, the secondary peak close to qz = 275 µm−1 is vastly broadened under load (curve l′2), suggesting that it corresponds to the pillar. Furthermore, the fact that this peak is weak on the detector (state u′2) but intense after integration shows that it is broad along qx.
To check this hypothesis, we performed post-mortem nano-diffraction on this sample, in a mesh of 41 × 41 points with a 250 nm step and an acquisition time of 0.02 s. The SXDM procedure developed at ID01 was used (Chahine et al., 2014). We could not perform SXDM under load because moving the compression device while scanning would have broken the sample. A typical diffraction pattern is shown in Fig. 5(a), once again corresponding to the micropillar centre. On this pattern, we selected a region of interest, hereafter called ROI, of 20 × 10 pixels, shown in Fig. 5(b). This ROI has an area of 32 × 16 µm−1, associated in the sample space with ∼200 × 400 nm, which is the extension of the illumination on the sample. The integrated intensity maps (at the centre of the rocking curves), shown in Fig. 5(d) for the whole detector and in Fig. 5(e) for this ROI, confirm that the ROI corresponds to the pedestal: excluding the ROI in the analysis of the integrated intensities increases the contrast of the pillar [Figs. 5(c) and 5(f)]. Hence, though intensities do not simply add in CXRD, a separation of the two scattering intensities is possible because the signal from the (very large and unstrained) pedestal has a very small extension in reciprocal space.
The patterns shown in Figs. 4 and 5, whether under load or after retraction, are too distorted for a description of the strain field in the sample to be possible with CXRD. Hence, in the next section, we concentrate on small applied forces, where strain gradients are much smoother.
4. In situ elastic deformation observations and simulations with a nano-focused beam
For the micropillar MP′′2 (same size as MP′2), our aim was to remain in the elastic regime. More precisely, we first applied a load up to 750 µN, then one load to 500 µN, denoted by l′′1, and a second to 750 µN, l′′2. Once again, u′′i is the unloaded state of the pillar just after the loaded state l′′i. The reference state was obtained before any loading and is denoted u′′0 [Fig. 6(d)]. A two-dimensional scan showed the pillar at this stage. The beam-to-sample position was then fixed and five energy scans from 7.800 to 8.200 keV with 5 eV steps were performed corresponding to the states u′′0, l′′1, u′′1, l′′2 and u′′2. The loads 500 and 750 µN correspond to 130 and 190 MPa, respectively, i.e. stress values much lower than the elastic limit.
Reciprocal-space maps were recorded with an acquisition time of 1 s per diffraction pattern. The beam was centred on the pillar. Fig. 6 shows the intensity integrated along different directions: in (a) we integrated the measured three-dimensional reciprocal-space maps along qx and qz, in (b) the integration is along q2θ and qz (equivalent to rocking curves), and in (c) the integration is along qx and q2θ. The superposition of the curves corresponding to the unloaded states of u′′0, u′′1 and u′′2 confirms that the whole test remained in the elastic regime. In these states, the widths of the peaks are in qualitative agreement with the size of the scattering volume; this volume is defined by the beam size in the horizontal direction (∼400 nm), the pillar thickness along the beam path [∼2(2)1/2 µm] and the beam size in the vertical direction (∼200 nm), respectively. In the loaded states, the signal coming from the micropillar is characterized by a broadening of the curves; it is associated with a shoulder showing a larger lattice spacing along (Poisson effect) [Fig. 6(a)] and a range of orientations evidencing a twist around [Fig. 6(b)] and a bending around [Fig. 6(c)]. In the following, we present a method to quantify this bending.
As we probe the Bragg peak , we are only sensitive to the projection of the displacement field along this direction, i.e. to uy (see Fig. 1). We will denote by uy(x), uy(y) and uy(z) the functions that correspond, in the absence of shear, to the twist, the strain and the bending, respectively. The bending component shown in Fig. 6(c) is thus described by uy(z), and we approximate it by a low-order polynomial, uy(z) = β1z + β2z2. There is no constant term in this expression as constant displacements do not produce any change on the diffraction patterns. It is thus set to 0 for convenience. The linear term is measured directly as the shift sqz of the pillar peak's centre of mass. From Fig. 6(c), we estimate sqz to be ∼200 µm−1 for l′′1 and 250 µm−1 for l′′2. This corresponds to mean bending angles of and 0.35°, respectively (where kf is the scattered wavevector), in agreement with values obtained for similar InSb micropillars compressed in situ during micro-Laue experiments (article in preparation) and other compression experiments of germanium micropillars.
The bending heterogeneities will now be characterized with the second-order term in uy(z). For this, we use a simple model relating the width of the peak to the radius of curvature of the pillar under load. First, as the attenuation length in InSb at this energy is 7.26 µm−1, the absorption of the beam in the pillar is neglected. Then, we approximate the incident field with a (phase free) Gaussian beam, ; Fig. S.M.2 shows that this is a reasonable approximation with a such that the FWHM of the beam amplitude is . Given this beam extension, the pillar is supposed to be infinite along the vertical direction. In this case, analytical results are possible for the Fourier transform.
Explicitly, at the exact diffraction condition, the phase of the effective electron density is
but the first-order term only shifts the diffraction pattern (determined previously) and has a negligible impact on the radius of curvature. Hence, we write ϕ(z) = bz2, where b = 2πβ2/d111, so that the scattered far-field is
With b as the only free parameter, we fitted the diffraction patterns so that the scattered intensity I(qz) = |Ψ(qz)|2 matches the measured intensity.
The radius of curvature of the function is, by definition,
so that R ≃ 1/2β2. The results are plotted in Fig. 7. The first comment is that only orders of magnitudes may be obtained: indeed, this simple model cannot catch the asymmetry of the peak. In other words, even at these small loads, higher-order terms in the Taylor development of the strain field are needed to correctly describe the observations; we tried third- and fourth-order polynomials but did not find good matches for the whole curves. A possible explanation is that the bending is heterogeneous over the beam size. The bending radius for the l′′1 state lies between 15 and 50 µm. Of course, the more loaded state is associated with smaller radii, between 10 and 30 µm for the l′′2 state.
Two effects may explain these surprisingly low values. First, the divergence of the beam has been neglected. Though the different modes show relatively flat fronts in the principal lobe, a slightly divergent beam would spread the intensity in R is that only a small region of the 6 µm tall pillar was explored. This region is approximately given by the beam FWHM (235 nm). Hence, the radii estimated here may not be representative of the bending of the whole pillar. A next step would be to scan the pillar along its axis, taking advantage of the fact that loading in the elastic regime is a reversible process.
and would be interpreted here as small radii of curvature. The second effect that may explain the small values of5. Discussion and conclusions
Firstly, despite the misalignments between the flat punch and the micropillar, the compression tests are reproducible in the sense that the in situ at Cristal was between 530 and 570 MPa, while it was ∼500 MPa for the pillar deformed at ID01. Moreover, the samples considered in this study belong to a small range of diameters (2 to 3.5 µm edge length) and all have the same aspect ratio (3:1), so that no size effects are expected. Hence, we can suppose that we are studying several states of the same test.
of the pillar deformedSome difficulties usually encountered in compression of micropillars were limited in this study because of the small applied strains; these include sink-in of the pillar into the pedestal, friction at the interface between the flat punch and the pillar, and stress heterogeneities at the pillar's edges. However, the load–unload series may have impacted the dislocation nucleation and escape, with the vanishing applied stress regularly imposed on the pillar; this applied stress may even get into slight tension during retraction due to an adhesive layer on the top of pillar caused by the preparation process. The main issue is probably the misalignment between the sample and the flat punch. This probably led to the pillar MP′2 being damaged, as seen in Fig. 3. Moreover, Maaß et al. (2009) showed with micro-Laue diffraction and with crystal-plasticity finite element simulations (FEMs) that misalignments imply that the first activated slip system may not be the geometrically predicted one.
CXRD on micropillars obtained by focused-ion-beam milling of a bulk sample has several complications: (i) for in situ studies, it is impossible to scan or to tilt the sample under load; and (ii) the pedestal, which needs to be as large as possible to avoid deformation, diffracts at the same angles as the micropillar. Item (i) has been partially solved with energy scans rather than rocking curves, as already performed by Cornelius et al. (2011, 2012), Cha et al. (2016) and Richard et al. (2020); however, like in any scanning diffraction method (Kirchlechner et al., 2012; Shin et al., 2018), it is impossible to move the sample with respect to the beam under load so that only one beam-to-sample position can be probed for in situ studies (this does not prevent, of course, shifting the optics whenever possible). In this respect, the use of coherent beams should partially circumvent this problem, since the long-range position of the scatterers is encoded in the diffracted field.
The fact that the pedestal diffracts at the same angle as the object of interest [item (ii)] may be viewed as a difficulty or as an advantage. On the one hand, its signature on the diffraction patterns overwhelms the micropillar contribution, especially after small loads like u1 in Fig. 2 (where the whole pillar was illuminated) or u′′1 in Fig. 6 (where the nano-beam was ∼3 µm above the pedestal); this will obviously lead to difficulties if imaging is intended, particularly prior to any deformation. On the other hand, we have shown that it is limited to a small area on the detector, and it can be used as a reference, like a reference powder in classical X-ray diffraction. We refer the reader to Diaz et al. (2010) for a detailed discussion on a related example.
More generally, most characterization methods have to deal with a trade-off between strain sensitivity (i.e. resolution in reciprocal space) and resolution in sample space, as reviewed and quantified by Schülli & Leake (2018). This is often associated with the beam collimation or smallness trade-off. With a micro-beam defined by slits close to the sample (Section 2) or a nano-focused beam (Sections 3 and 4), we explored very different possibilities. In the first case (Cristal setup), we showed that we can distinguish isolated defects from coordinated defects representative of the tests. In the second case (ID01 setup), we showed that quantitative nano-diffraction imaging with SXDM maps is not easy due to the overwhelming presence of the pedestal peak, even when the beam is in the top part of the 6 µm tall micropillar. However, this was only at the centre of the rocking curve; the contribution of the pedestal will rapidly decay out of the exact Bragg position. Furthermore, we showed how CXRD may be used to estimate the radius of curvature of the micropillar under compression. The next step should be to interpret the peak asymmetries. Concerning the resolution–sensitivity trade-off, we refer the reader to the article by Verezhak et al. (2021) for a new characterization method that aims at winning on both sides: a plane wave illuminates the micropillar but a pinhole defines the exit-field extension, allowing for ptychographic reconstructions at tens of nanometres resolution with a high strain sensitivity.
In this article, we have considered a purely quadratic phase to reproduce the curvature of the pillar, allowing one to obtain a quantitative bending value. More advanced information on the bending or twisting of the sample may be obtained using an analytic solution of elasticity theory (like the buckling column formula in our case). For example, Lazarev et al (2018) succeeded in imaging the native state in a ∼1.5 µm long area of a GaN nano-wire, and then used in situ CXRD to characterize the strain field of the device under operation. Because the mere fact of depositing metallic contacts induced too much strain for successful reconstructions, they acquired three-dimensional CXRD reciprocal-space maps that give clues on the strain level in the nano-wire, after contact deposition and while applying voltage bias. FEMs allowed them to estimate the ultimate tensile strength and one piezoelectric coefficient of the nano-wire. Post-mortem FEMs also appear, among others, in the work of Cornelius et al. (2012) to check the shape of the reciprocal-space maps, in the work of Hruszkewycz et al. (2012) to separate the lattice strain observed by Bragg projection ptychography in an SiGe-on-SOI (silicon-on-insulator) structure into its different origins, in the work of Dupraz et al. (2017) to determine the three-dimensional displacement field from one of its components imaged with BCDI and boundary conditions, and in the work of Dzhigaev et al. (2017) to evaluate a plastic relaxation parameter in an InGaN/GaN core–shell nano-wire.
However, all these simulations can be quite lengthy; it would be particularly time consuming in our case, since the misalignments are unknown and would have to be guessed by trial and error. Finally, the bending-angle estimation presented here could be obtained on-line on a synchrotron radiation source.
The examples considered in this article show that CXRD allows an approximate estimation of the elastic strain field in a micro-object under compression thanks to a comparison with simulations. The type of defects could probably be identified with reciprocal-space maps on slightly deformed pillars. Moreover, CXRD may allow a phasing of the diffraction patterns to obtain an image of the strain field. In our case, we acquired three-dimensional Bragg ptychography data sets but we did not succeed in obtaining any reliable reconstruction. Three reasons can explain the inefficiency of the reconstruction: the contribution of the pedestal mentioned above, the thickness of the pillar, which is large with respect to the longitudinal coherence length, and the initial crystalline quality. Examples with a few dislocations have already been presented, but it is generally accepted that CXRD will apply only for low defect density. We think that it will be difficult to obtain information on individual defects with CXRD on these samples: on virgin crystals, the scattered intensities from the micropillar and from the pedestal overlap; shortly after the yield point, there are too many defects to be interpreted with CXRD. The more interesting route we envision is to gather statistical information, probing reflections sensitive to the stacking faults and reflections that are not, as previously done by Chamard et al. (2008), Favre-Nicolin et al. (2010) and Hill et al. (2018).
6. Related literature
The following additional references are cited in the supporting information for this article: Swygenhoven & Petegem (2010).
Supporting information
Supporting information. DOI: https://doi.org/10.1107/S1600576723000493/te5107sup1.pdf
Footnotes
‡Present address: Department for Electrical Engineering and Information Technology, X-ray Tomography Group, ETH Zürich, Zürich, Switzerland.
§Present address: Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines. Université de Valenciennes et Hainaut-Cambrésis, Le Mont Houy, 59313 Valenciennes, France.
Acknowledgements
Guillaume Amiard is gratefully acknowledged for the fabrication of the pillars deformed at ID01. The authors also gratefully acknowledge the SOLEIL synchrotron and ESRF for the allocated experiments at the Cristal and ID01 beamlines, respectively.
Funding information
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 701647, as well as SNSF grant No. 200021L_169753, and from ANR grant Nos. ANR-16-CE93-0006 and ANR-19-CE08-0007, `Investissement d'Avenir' (LABEX INTERACTIFS, ANR-11-LABX-0017-01), and Nouvelle Aquitaine Region/European Structural and Investment Funds (ERDF No. P-2016-BAFE-94/95).
References
Brenner, S. S. (1956). J. Appl. Phys. 27, 1484–1491. CrossRef CAS Web of Science Google Scholar
Cha, W., Ulvestad, A., Allain, M., Chamard, V., Harder, R., Leake, S. J., Maser, J., Fuoss, P. H. & Hruszkewycz, S. O. (2016). Phys. Rev. Lett. 117, 225501. Web of Science CrossRef PubMed Google Scholar
Chahine, G. A., Richard, M.-I., Homs-Regojo, R. A., Tran-Caliste, T. N., Carbone, D., Jacques, V. L. R., Grifone, R., Boesecke, P., Katzer, J., Costina, I., Djazouli, H., Schroeder, T. & Schülli, T. U. (2014). J. Appl. Cryst. 47, 762–769. Web of Science CrossRef CAS IUCr Journals Google Scholar
Chamard, V., Allain, M., Godard, P., Talneau, A., Patriarche, G. & Burghammer, M. (2015). Sci. Rep. 5, 9827. Web of Science CrossRef PubMed Google Scholar
Chamard, V., Stangl, J., Labat, S., Mandl, B., Lechner, R. T. & Metzger, T. H. (2008). J. Appl. Cryst. 41, 272–280. Web of Science CrossRef CAS IUCr Journals Google Scholar
Clark, J. N., Beitra, L., Xiong, G., Higginbotham, A., Fritz, D. M., Lemke, H. T., Zhu, D., Chollet, M., Williams, G. J., Messerschmidt, M. M., Abbey, B., Harder, R. J., Korsunsky, A. M., Wark, J. S. & Robinson, I. K. (2013). Science, 341, 56–59. Web of Science CrossRef CAS PubMed Google Scholar
Cornelius, T. W., Carbone, D., Jacques, V. L. R., Schülli, T. U. & Metzger, T. H. (2011). J. Synchrotron Rad. 18, 413–417. Web of Science CrossRef CAS IUCr Journals Google Scholar
Cornelius, T. W., Davydok, A., Jacques, V. L. R., Grifone, R., Schülli, T., Richard, M.-I., Beutier, G., Verdier, M., Metzger, T. H., Pietsch, U. & Thomas, O. (2012). J. Synchrotron Rad. 19, 688–694. Web of Science CrossRef CAS IUCr Journals Google Scholar
Diaz, A., Chamard, V., Mocuta, C., Magalhães-Paniago, R., Stangl, J., Carbone, D., Metzger, T. & Bauer, G. (2010). New J. Phys. 12, 035006. Web of Science CrossRef Google Scholar
Dupraz, M., Beutier, G., Cornelius, T. W., Parry, G., Ren, Z., Labat, S., Richard, M. I., Chahine, G. A., Kovalenko, O., De Boissieu, M., Rabkin, E., Verdier, M. & Thomas, O. (2017). Nano Lett. 17, 6696–6701. Web of Science CrossRef CAS PubMed Google Scholar
Dupraz, M., Beutier, G., Rodney, D., Mordehai, D. & Verdier, M. (2015). J. Appl. Cryst. 48, 621–644. Web of Science CrossRef CAS IUCr Journals Google Scholar
Dzhigaev, D., Stankevič, T., Bi, Z., Lazarev, S., Rose, M., Shabalin, A., Reinhardt, J., Mikkelsen, A., Samuelson, L., Falkenberg, G., Feidenhans'l, R. & Vartanyants, I. A. (2017). ACS Nano, 11, 6605–6611. Web of Science CrossRef CAS PubMed Google Scholar
Favre-Nicolin, V., Mastropietro, F., Eymery, J., Camacho, D., Niquet, Y. M., Borg, B. M., Messing, M. E., Wernersson, L. E., Algra, R. E., Bakkers, E. P. A. M., Metzger, T. H., Harder, R. & Robinson, I. K. (2010). New J. Phys. 12, 035013. Google Scholar
Godard, P., Carbone, G., Allain, M., Mastropietro, F., Chen, G., Capello, L., Diaz, A., Metzger, T., Stangl, J. & Chamard, V. (2011). Nat. Commun. 2, 568–573. Web of Science CrossRef CAS PubMed Google Scholar
Goodman, J. W. (2004). Introduction to Fourier Optics, 3rd ed. Englewood: Roberts & Company. Google Scholar
Gruber, P. A., Solenthaler, C., Arzt, E. & Spolenak, R. (2008). Acta Mater. 56, 1876–1889. Web of Science CrossRef CAS Google Scholar
Hill, M. O., Calvo-Almazan, I., Allain, M., Holt, M. V., Ulvestad, A., Treu, J., Koblmüller, G., Huang, C., Huang, X., Yan, H., Nazaretski, E., Chu, Y. S., Stephenson, G. B., Chamard, V., Lauhon, L. J. & Hruszkewycz, S. O. (2018). Nano Lett. 18, 811–819. Web of Science CrossRef CAS PubMed Google Scholar
Hofmann, F., Tarleton, E., Harder, R. J., Phillips, N. W., Ma, P. W., Clark, J. N., Robinson, I. K., Abbey, B., Liu, W. & Beck, C. E. (2017). Sci. Rep. 7, 45993. Web of Science CrossRef PubMed Google Scholar
Hruszkewycz, S. O., Holt, M. V., Murray, C. E., Bruley, J., Holt, J., Tripathi, A., Shpyrko, O. G., McNulty, I., Highland, M. J. & Fuoss, P. H. (2012). Nano Lett. 12, 5148–5154. Web of Science CrossRef CAS PubMed Google Scholar
Jacques, V. L. R., Carbone, D., Ghisleni, R. & Thilly, L. (2013). Phys. Rev. Lett. 111, 065503. Web of Science CrossRef PubMed Google Scholar
Jacques, V. L. R., Ravy, S., Le Bolloc'h, D., Pinsolle, E., Sauvage-Simkin, M. & Livet, F. (2011). Phys. Rev. Lett. 106, 065502. Web of Science CrossRef PubMed Google Scholar
Kedjar, B., Thilly, L., Demenet, J. L. & Rabier, J. (2010a). Acta Mater. 58, 1418–1425. Web of Science CrossRef CAS Google Scholar
Kedjar, B., Thilly, L., Demenet, J. L. & Rabier, J. (2010b). Acta Mater. 58, 1426–1440. Web of Science CrossRef CAS Google Scholar
Kiener, D., Grosinger, W., Dehm, G. & Pippan, R. (2008). Acta Mater. 56, 580–592. Web of Science CrossRef CAS Google Scholar
Kiener, D., Hosemann, P., Maloy, S. A. & Minor, A. M. (2011). Nat. Mater. 10, 608–613. Web of Science CrossRef CAS PubMed Google Scholar
Kirchlechner, C., Imrich, P. J., Grosinger, W., Kapp, M. W., Keckes, J., Micha, J. S., Ulrich, O., Thomas, O., Labat, S., Motz, C. & Dehm, G. (2012). Acta Mater. 60, 1252–1258. Web of Science CrossRef CAS Google Scholar
Labat, S., Richard, M. I., Dupraz, M., Gailhanou, M., Beutier, G., Verdier, M., Mastropietro, F., Cornelius, T. W., Schülli, T. U., Eymery, J. & Thomas, O. (2015). ACS Nano, 9, 9210–9216. Web of Science CrossRef CAS PubMed Google Scholar
Lauraux, F., Cornelius, T. W., Labat, S., Richard, M.-I., Leake, S. J., Zhou, T., Kovalenko, O., Rabkin, E., Schülli, T. U. & Thomas, O. (2020). J. Appl. Cryst. 53, 170–177. Web of Science CrossRef CAS IUCr Journals Google Scholar
Lazarev, S., Dzhigaev, D., Bi, Z., Nowzari, A., Kim, Y. Y., Rose, M., Zaluzhnyy, I. A., Gorobtsov, O. Y., Zozulya, A. V., Lenrick, F., Gustafsson, A., Mikkelsen, A., Sprung, M., Samuelson, L. & Vartanyants, I. A. (2018). Nano Lett. 18, 5446–5452. Web of Science CrossRef CAS PubMed Google Scholar
Maaß, R., Van Petegem, S., Van Swygenhoven, H., Derlet, P. M., Volkert, C. A. & Grolimund, D. (2007). Phys. Rev. Lett. 99, 145505. Web of Science PubMed Google Scholar
Maaß, R., Van Petegem, S., Ma, D., Zimmermann, J., Grolimund, D., Roters, F., Van Swygenhoven, H. & Raabe, D. (2009). Acta Mater. 57, 5996–6005. Google Scholar
Oh, S. H., Legros, M., Kiener, D. & Dehm, G. (2009). Nat. Mater. 8, 95–100. Web of Science CrossRef PubMed CAS Google Scholar
Oh, S. H., Legros, M., Kiener, D., Gruber, P. & Dehm, G. (2007). Acta Mater. 55, 5558–5571. Web of Science CrossRef CAS Google Scholar
Pateras, A. I., Allain, M., Godard, P., Largeau, L., Patriarche, G., Talneau, A., Pantzas, K., Burghammer, M., Minkevich, A. A. & Chamard, V. (2015). Phys. Rev. B, 92, 205305. Web of Science CrossRef Google Scholar
Pfeifer, M. A., Williams, G. J., Vartanyants, I. A., Harder, R. & Robinson, I. K. (2006). Nature, 442, 63–66. Web of Science CrossRef PubMed CAS Google Scholar
Richard, M. I., Cornelius, T. W., Lauraux, F., Molin, J. B., Kirchlechner, C., Leake, S. J., Carnis, J., Schülli, T. U., Thilly, L. & Thomas, O. (2020). Small, 16, 1905990. Web of Science CrossRef Google Scholar
Richter, G., Hillerich, K., Gianola, D. S., Mönig, R., Kraft, O. & Volkert, C. A. (2009). Nano Lett. 9, 3048–3052. Web of Science CrossRef PubMed CAS Google Scholar
Schülli, T. U. & Leake, S. J. (2018). Curr. Opin. Solid State Mater. Sci. 22, 188–201. Google Scholar
Shin, J., Cornelius, T. W., Labat, S., Lauraux, F., Richard, M.-I., Richter, G., Blanchard, N. P., Gianola, D. S. & Thomas, O. (2018). J. Appl. Cryst. 51, 781–788. Web of Science CrossRef CAS IUCr Journals Google Scholar
Swygenhoven, H. V. & Petegem, S. V. (2010). JOM, 62, 36–43. Google Scholar
Taylor, G. F. (1924). Phys. Rev. 23, 655–660. CrossRef Google Scholar
Thilly, L., Ghisleni, R., Swistak, C. & Michler, J. (2012). Philos. Mag. 92, 3315–3325. Web of Science CrossRef CAS Google Scholar
Uchic, M. D., Dimiduk, D. M., Florando, J. N. & Nix, W. D. (2004). Science, 305, 986–989. Web of Science CrossRef PubMed CAS Google Scholar
Ulvestad, A., Singer, A., Clark, J. N., Cho, H. M., Kim, J. W., Harder, R., Maser, J., Meng, Y. S. & Shpyrko, O. G. (2015). Science, 348, 1344–1347. Web of Science CrossRef CAS PubMed Google Scholar
Vartanyants, I. A. & Robinson, I. K. (2001). J. Phys. Condens. Matter, 13, 10593–10611. Web of Science CrossRef CAS Google Scholar
Verezhak, M., Van Petegem, S., Jacques, V. L. R., Godard, P., Wakonig, K., Thilly, L. & Diaz, A. (2018). Microsc. Microanal. 24, 18–21. CrossRef Google Scholar
Verezhak, M., Van Petegem, S., Rodriguez-Fernandez, A., Godard, P., Wakonig, K., Karpov, D., Jacques, V. L. R., Menzel, A., Thilly, L. & Diaz, A. (2021). Phys. Rev. B, 103, 144107. Web of Science CrossRef Google Scholar
Wheeler, J. M., Thilly, L., Morel, A., Taylor, A. A., Montagne, A., Ghisleni, R. & Michler, J. (2016). Acta Mater. 106, 283–289. 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.