Stripe-like nanoscale structural phase separation in superconducting BaPb1−xBixO3

Article metrics

Abstract

The phase diagram of BaPb1−xBixO3 exhibits a superconducting dome in the proximity of a charge density wave phase. For the superconducting compositions, the material coexists as two structural polymorphs. Here we show, via high-resolution transmission electron microscopy, that the structural dimorphism is accommodated in the form of partially disordered nanoscale stripes. Identification of the morphology of the nanoscale structural phase separation enables determination of the associated length scales, which we compare with the Ginzburg–Landau coherence length. We find that the maximum Tc occurs when the superconducting coherence length matches the width of the partially disordered stripes, implying a connection between the structural phase separation and the shape of the superconducting dome.

Introduction

High temperature superconductors are complex materials in which spin, charge, orbital and structural degrees of freedom all appear to play an important role in shaping the emergent electronic properties. Phase segregation in the form of spin stripes1, charge stripes2,3, charge density wave (CDW) nanodomains4, lattice modulations5,6,7 and self-organization of dopants8,9, among others, have been reported for these materials. Different perspectives have been proposed to explain how these phenomena potentially affect important physical properties in these materials, including the superconducting critical temperature Tc (refs 10, 11, 12, 13). However, many of the details of the nanostructure associated with these subtle forms of phase segregation, and their effects, for example in shaping the superconducting ‘dome’, remain enigmatic11,12,14,15, partly due to the fact that highly sensitive local probes that have been developed in recent years have only been applied to a small fraction of the materials of interest7,8,16,17. For systems with such a variety of interactions, tracking the influence of each individual degree of freedom on the phase separation and on the determination of the electronic properties is challenging. For this reason, the study of simpler superconducting systems can provide useful insights for understanding more complex materials. A model system for the study of how superconductivity is influenced by local CDW instabilities and structural phase separation can be found in the bismuthate superconductors.

The family of bismuthate superconductors results from replacing K for Ba, or Pb for Bi, in BaBiO3, a charge disproportionated CDW (CD-CDW) insulator18,19,20,21,22. This family of superconductors has no magnetic degrees of freedom. On doping, the insulating CDW phase disappears, giving rise to a metallic phase, where superconductivity appears at (maximum) temperatures below 30 and 11 K for K-doping and Pb-doping, respectively23,24. For the case of BaPb1–xBixO3, superconducting compositions are found to be dimorphic25. The nature of the associated structural phase separation, and its effect on the superconducting properties, has, however, not previously been addressed.

BaPb1–xBixO3 has a distorted perovskite (ABO3) crystal structure. For the highest Bi concentrations the material comprises two distinct Bi sites, with different Bi–O bond lengths. The origin of the associated CDW has been widely debated19,22,26,27. For x≤0.8 the average structure comprises a single Bi/Pb site28, though EXAFS measurements reveal two distinct Bi–O bond lengths down to at least x0.25 (refs 29, 30), implying a persistence of the CDW at a local level. Significantly, for all compositions, the perovskite structure is also distorted by rotational instabilities of the oxygen octahedra, which can be described using Glazer’s notation31,32 (see Supplementary Note 1 for an explanation of Glazer’s notation). For the insulating end-member compound BaBiO3 (x=1), and down to x=0.9, the unit cell space group is monoclinic I2/m (coming from a a0bc tilt, in Glazer’s notation); for the metallic end-member compound BaPbO3 (x=0) and up to x≈0.15, and again for 0.35<x<0.9, the unit cell space group is orthorhombic Ibmm (coming from a a0bb tilt, as shown in Fig. 1a); however, for the region of 0.15<x<0.35, which is also the range of compositions for which the material is superconducting, the material is polymorphic, with a fraction of its volume with orthorhombic Ibmm symmetry and the rest with tetragonal I4/mcm symmetry (coming from a a0a0c tilt)25. The superconducting volume fraction peaks at the same Bi composition where the tetragonal-to-orthorhombic ratio is maximum, leading to the conclusion that the tetragonal polymorph is the one responsible for superconductivity in this material25,28. This Bi composition is also the one for which the material has the maximum Tc, that is, the optimal doping composition.

Figure 1: Crystalline structure and HRTEM image.
figure1

(a) Schematic diagram illustrating the a0bb distortion of the cubic perovskite structure, resulting in a orthorhombic Ibmm unit cell. The rotations of the octahedra have been exaggerated in the illustrations to more clearly reveal the distortion. (b) HRTEM image for a sample with x=0.18, looking down the [001] zone axis, revealing a well-ordered structure with coherent planes of atoms. Scale bar is 5 nm long. Inset shows an expanded view of a region of 3 × 3 nm2. (c) FFT of the image in (b), showing peaks corresponding to the {200} (blue-solid circles), {110} (red-dashed squares) and {220} (green-solid squares) sets of reflections. Symbols with solid edges correspond to reflections allowed in both Ibmm and I4/mcm space groups, while those with dashed edges correspond to reflections forbidden in the I4/mcm space group, but allowed in the Ibmm.

In this article we report the observation of stripe-like structural phase separation in superconducting BaPb1–xBixO3 for compositions spanning optimal doping. We determine the morphology and characteristic length scales of the nanoscale phase separation, revealing intriguing parallels to structural features found in, at least some, cuprate high temperature superconductor materials. We find that the maximum Tc occurs when the superconducting coherence length matches the width of the partially disordered stripes, implying a connection between the structural phase separation, enhanced coulomb effects due to disorder (localization), inhomogeneous superconducting properties and the shape of the superconducting ‘dome’.

Results

Structural phase separation in single crystals

To investigate how the structural polymorphism is accommodated microscopically in a ‘single crystal’ of BaPb1–xBixO3, and its possible consequences for the observed transport and, more interestingly, superconducting properties, high-resolution transmission electron microscopy (HRTEM) measurements were taken for samples with bismuth compositions below, at and above optimal doping. All the HRTEM images taken for all the different compositions reveal a well-ordered structure, as can be observed in the representative 24.1 × 24.1 nm2 image in Fig. 1b for a sample with Bi composition of x=0.18, and better appreciated in the 3 × 3 nm2 expanded view in the inset to this figure. Figure 1c shows its corresponding fast Fourier transform, revealing peaks from both tetragonal (hkl even) and orthorhombic (hkl even and odd, in the tetragonal notation) phases (see Supplementary Tables 1 and 2, and Supplementary Note 2 for more detail).

Figure 2 shows dark field (DF) transmission electron microscopy images for samples with Bi concentration of x=0.18 and 0.28, along the [001]T zone axis. These DF images were obtained using the orthorhombic (110) reflection shown in the red circle in the insets to their respective figures. For both figures, the size and distribution of the bright regions show a patchwork of coherent domains, with characteristic sizes of 5–10 nm. Indications of a stripy pattern are seen in both images, which for Fig. 2a run from top left to bottom right. This stripy pattern is better identified when recreating a virtual DF image by performing an inverse fast Fourier transform (IFFT) of all the four {110}T reflections. As we will show, by establishing the ‘shape’ of the nanoscale phase separation, we are able to determine the associated length scales with better precision than if we assumed an isotropic morphology. This ultimately allows us to make a meaningful comparison with other important characteristic length scales in the material, including the Ginzburg–Landau superconducting coherence length.

Figure 2: Dark field transmission electron microscopy images.
figure2

80.8 × 80.8 nm2 dark-field transmission electron microscopy images, as looking down the [001]T zone axis, obtained using the (110) reflection (shown in red in the insets to both figures) for samples with Bi concentration of (a) x=0.18 and (b) x=0.28. The scale bars in both figures are 10 nm long. For both images, a patchwork of coherent domains is seen, with stripe-like features, running from top left to bottom right. The stripe-like features are more clearly seen in the filtered-and-reconstructed images, as described in the main text, and shown in Fig. 3 and Fig. 4.

Figure 3a shows a 19 × 19 nm2 portion of the {110}T filtered IFFT of the HRTEM image in Fig. 1b. This image keeps the information of both the atomic periodicity as well as a larger-scale contrast variation, reflecting variations in the local ‘orthorhombicity’ across the sample. The image in Fig. 3b is the result of a resolution reduction by adjacent averaging, of the image in Fig. 3a, from 0.47 to 7.5 Å per pixel, therefore eliminating the atomic resolution information while keeping the longer range variation in ‘orthorhombicity’. The bottom parts of Fig. 3a,b shows the computed average spatial correlation functions 〈G(r)〉 of their respective images on top. The vertical lines in 〈G(r)〉 label local minima and maxima positions |r|, being equivalent for both, the original resolution image in Fig. 3a, and the reduced resolution image in Fig. 3b. For the purpose of our analysis, we consider only the reduced resolution images, given that these conserve the information of the longer scale structural variation while reducing the computational requirements.

Figure 3: Effect of averaging out the atomic resolution information.
figure3

(a) 19 × 19 nm2 portion of a {110}T filtered-and-reconstructed HRTEM image for a sample with bismuth concentration of x=0.18, and its corresponding correlation function below it, showing the atomic resolution detail. The scale bar in the image corresponds to 5 nm. Colour scale shows relative normalized intensities: blue regions are more strongly orthorhombic, and red regions are more strongly tetragonal. Dashed-black vertical lines in the correlation function correspond to local minima, and solid-blue vertical lines correspond to local maxima. The exact positions of the maxima are indicated by the numbers in blue above each line. (b) Same image as in (a), and its corresponding correlation function, after a 7.5 Å × 7.5 Å averaging, eliminating the atomic resolution information while maintaining the broader orthorhombic structural variation. The red curves in the correlation functions are 3 nm smoothing of the original black curves. The average and smoothing procedures do not affect the identification of maxima and minima in the correlation function.

Morphology and length scales of structural phase separation

To quantify the length scales associated with the orthorhombic variation, the average spatial correlation function 〈G(r)〉 and the angle-dependent spatial correlation function 〈Gθ(r)〉 were computed for each {110}T/{101}T filtered IFFT image (see Supplementary Note 3 for definitions). Figure 4 shows filtered-and-reconstructed HRTEM images for a representative sample of each Bi composition studied (left panels), after a resolution reduction that averages out the atomic-scale information. Both 〈G(r)〉 (shown in Supplementary Figs 1–3 and Supplementary Note 4) and 〈Gθ(r)〉 (shown on the right panels of Fig. 4) of all the images shown reveal local minima and maxima, implying the presence of characteristic length scales for the phase separation. Furthermore, the angular dependent correlation function 〈Gθ(r)〉 clearly reveals that there is a particular spatial pattern associated with the phase separation. Inspection of these quantities, in the right hand panels of Fig. 4, reveals arcs of intensity with an approximately two-fold rotational symmetry. The arcs are imperfect, but repeat with a fixed periodicity, implying a self-organized pattern of phase separation over remarkably large length scales. Such a pattern of intensity in 〈Gθ(r)〉 is consistent with a real space phase separation comprising partially disordered stripes (see Fig. 5, and Supplementary Note 5). For a system with stripes separated by a distance d and running along an angle α with respect to the horizontal, the distance between stripes as measured at an angle θ is given by N × d/cos((α–90°)–θ) (with N=1,2,3,…), which diverges at θ=α. As can be observed in Fig. 4 (and in similar data shown in Supplementary Figs 1–3), most of the samples studied exhibit this characteristic dependence, with periodic maxima (shown by solid lines in the figure) and minima (dashed lines) that approximately follow such an inverse cosine function. The orientation of the stripes with respect to the crystal axes is not identical for all images studied, but on average it is close to 29°±22° from the [100]T orientation (see Supplementary Fig. 4 and Supplementary Note 6). These stripes are clearly evident in the larger area real space images shown in the left hand panels of Fig. 4a,b, running approximately top left to bottom right. In addition to the separation of stripes, inspection of the images in Fig. 4 reveals that there is a shorter (and more isotropic) length scale of structural variation, which describes the broken-up character of the stripes. This length scale can be seen more clearly in the average correlation function as a kink in the low-r tail, which can be better identified in the derivative of 〈G(r)〉. (see Supplementary Fig. 5 and Supplementary Note 7). Differences in the IFFT images reconstructed using different set of orthorhombic reflections, (110)T or , suggests that there are more complicated components to this phase separation, involving subtle tilts with respect to the average crystal axes (see Supplementary Figs 6–8 and Supplementary Note 8). However, given that we are interested in the average variation of orthorhombicity across areas of the crystals, we restrict our analysis to the filtered IFFT images reconstructed with the set of all four {110}T/{101}T (Ibmm) reflections, which are sufficient to unambiguously determine the associated length scales.

Figure 4: Filtered-and-reconstructed HRTEM images and their correlation function.
figure4

{110}/{101}T filtered-and-reconstructed HRTEM images (after averaging-out the atomic-scale variation), and their respective angle-dependent correlation functions for BaPb1–xBixO3 samples with bismuth compositions of (a) x=0.18 (that is, x<xopt, Tc≈7 K) (b) x=0.24 (xxopt, Tc≈10.5 K) and (c) x=0.28 (x>xopt, Tc≈7 K). The scale bars in all images correspond to 10 nm. Vertical bars next to each image show the normalized intensity colour scale. Blue regions are more strongly orthorhombic, red regions are less strongly orthorhombic (that is, more strongly tetragonal). The colour scale on the right hand side plots represent the value of 〈G(r)〉. This quantity is plotted as a function of |r| (vertical axis) and the angle θ with the horizontal (bottom axis) or the [200]T crystalline axis (top axis). The angle-dependent correlation functions reveal clear arcs of intensity, associated with the partially disordered stripe-like nanostructure. Solid and dashed lines represent the best fits to N × d/cos((α–90°)–θ) and (2N–1) × w/cos((α–90°)–θ) for the local maxima and minima, respectively, as described in the main text. These stripes can be observed in the images in (a) and (b) running from top left to bottom right.

Figure 5: Correlation function for a system with partially disordered stripes.
figure5

Simulation showing the angle-dependent correlation function 〈Gθ(r)〉 for a system with partially disordered stripes. The simulated images have a size of 128 × 128 pixels, with stripes of width w=14.1 pixels, separated between them by d=28.3 pixels, and running along 135° from the horizontal. The scale bar for all images correspond to 30 pixels. For the different images, a broken-up character of a different level was introduced, as a number of islands of size 3 × 3 pixels, placed at random positions within the red stripes. Each image is characterized by a filling fraction f, from 0 (empty stripe) to 1 (full stripe). The filling fraction f for each image is: (a) f=1 (perfect stripe formation), (b) f=0.5, (c) f=0.1 and (d) f=0.05. For each image, the angle-dependent correlation function 〈G(r)〉 is shown in the right hand panel, and its value is represented in the colour scale, which has different limits for each image. Black lines in these plots follow the functional form N*d/cos((α–90°)–θ), where N=1,2,3,…, d=28.3 and α=135°. These simulations illustrate how powerful this statistical technique is in revealing weak- or imperfect-stripes formation. As observed in panel (d), the stripe formation can be missed at first glance; however, 〈Gθ(r)〉 clearly reveals the two-fold symmetry of this image, as well as the periodicity associated with it.

Although the stripe-like character of the structural phase separation is imperfect, nevertheless by identifying the morphology of the nanostructure we are able to define the characteristic length scales of phase separation in terms of three simple parameters (see inset to Fig. 6): the stripe period, d, (that is, the distance between stripes of similar ‘orthorhombicity’, determined from the maxima of 〈Gθ(r)〉); the stripe width, w (estimated from the regions of minimum values in 〈Gθ(r)〉, that is, stripes half-period, which can be used as a measure of the upper bound to the width of individual stripes); and the length scale associated with disorder within a stripe, ζ, (identified in the derivative of the low-r tail of 〈G(r)〉, as shown in Supplementary Fig. 5 and Supplementary Note 7). The analysis described above, was performed for a total of five x=0.18 samples, four x=0.24 samples and four x=0.28 samples (all of which are shown in the Supplementary Material), and the average value of d, w and ζ for each Bi composition were calculated. The results are summarized in Fig. 6, together with the error obtained by calculating the s.d. from the average value.

Figure 6: Length scales of phase separation.
figure6

Average characteristic lengths of phase separation for BaPb1–xBixO3 as a function of x. These data are contrasted with the Ginzburg–Landau coherence length ξGL(0), represented in the blue curves. Error bars represent the standard deviation from the average of all the samples measured for each composition.

Discussion

The phase separation of tetragonal and orthorhombic polymorphs in BaPb1–xBixO3 is presumably driven by changes in the relative free energy of the two phases, both as a function of temperature and composition33. Such a scenario is illustrated schematically in Fig. 7. The resulting morphology is reminiscent of spinodal decomposition, but the physical origin is somewhat different in this case, involving two competing phases. Significantly, in such a scenario, the composition xopt0.24, at which the tetragonal volume fraction is maximal, marks the separatrix between formation of two different orthorhombic phases, both with the same structure, but one with a lower Bi concentration (O(I), for compositions x<xopt), and one with a higher Bi concentration (O(II), for x>xopt). It has been previously shown for various metallic precipitates embedded in metallic matrices (Cu in Al, Ag in Cu and Ag in Al, among others) that inhomogeneous strain can cause local variations in the free energy, modifying phase equilibria34. Therefore, it is reasonable to anticipate that the sharp distinctions in composition between the O(I) and O(II) phases will be blurred in practice (Fig. 7c,d). The resulting continuous variation in composition, and presumably lattice parameter, is consistent with results of recent X-ray and neutron diffraction measurements25. Considering the temperature dependence of the resistivity for compositions that have only an orthorhombic structure, it is clear that Bi substitution leads to a progressive evolution of the electronic properties of the orthorhombic phase from a ‘bad metal’ for x<<xopt (that is, /dT>0, but with a very large absolute value of the resistivity) to a ‘bad insulator’ for x xopt (that is, /dT<0, but nevertheless extrapolating to a finite conductivity at T=0) (refs 18, 35, 36). It is unclear whether this evolution of the electronic properties of the orthorhombic phase is driven by disorder due to the increasing Bi concentration, or a progressive increase in the CDW correlation length, or indeed a combination of both effects, but tunnelling data clearly indicates that the zero temperature conductivity decreases to zero linearly in the entire range from x=0 to x=0.3, and that the associated zero bias tunnelling anomaly also varies smoothly over this range37. Of particular significance for the following discussion, if the Bi concentration deviates from xopt0.24 in either direction, and the tetragonal volume fraction correspondingly diminishes, the phase separation results in small islands of superconducting tetragonal material with a characteristic length scale embedded in a matrix of orthorhombic BaPb1–xBixO3 that is either poorly conducting for x<xopt or poorly insulating for x>xopt. This distinction has important consequences for the evolution of the superconducting properties.

Figure 7: Structural phase separation scenario in BaPb1–xBixO3.
figure7

(a) Schematic diagram of the Gibbs free energy of orthorhombic (Gortho.) and tetragonal (Gtetrag.) phases as a function of composition at a given low temperature T=TL. (b) The corresponding phase diagram, showing regions of phase coexistence. At x=xopt the tetragonal fraction is maximum. For x<xopt the orthorhombic phase is labelled as O(I), and it is a low Bi phase, presumably metallic. For x>xopt the orthorhombic phase is labelled O(II), and it is a rich-Bi phase, presumably insulating. (c) Fraction of tetragonal (ftet, left axis) and orthorombic (fortho, right axis) phases as a function of composition, at temperature T=TL (marked by the red horizontal line in panel (b)). (d) Spatial average of orthorhombic composition, , as a function of composition, for the same temperature T=TL. Solid lines in panels (c) and (d) show the evolution of these quantities with composition for the ideal case depicted in (a), whereas dashed-curves show the evolution for the case where the local free energy is modified by local strain, giving rise to a distribution of free energies that smear the otherwise sharp distinctions and features of the tetragonal and orthorhombic fractions, and spatial average of orthorhombic composition.

On the basis of the {110}T/{101}T filtered-and-reconstructed HRTEM images, averaged orthorhombic intensity distribution histograms can be generated for each Bi concentration (see Supplementary Figs 9–13 and Supplementary Note 9). Analysis of these histograms reveals that the tetragonal volume fraction does indeed peak at the same composition as optimal doping, confirming earlier reports based on X-ray and neutron diffraction experiments in polycrystalline samples25, and suggesting a direct connection between the tetragonal distortion and superconductivity.

The significance of the structural modulation with respect to the superconducting properties can be readily appreciated by comparing the associated length scales of the disordered stripes, d, w and ζ (solid data points in Fig. 6), with the Ginzburg–Landau coherence length, ξGL(0) (blue curve in the same figure), for samples with x<xopt, xxopt (optimally doped), and x>xopt, with approximate Tc values of 7, 10.5 and 7 K, respectively. We estimate ξGL(0) from Hc2(0) for a series of superconducting compositions, including the ones presented in this paper, having used the standard Werthamer–Helfand–Hohenberg approximation to determine Hc2(0) from Hc2(T). We employed both 50 and 90% criteria to extract Hc2(T) from resistive transitions, as we previously showed in refs 35 and 36, leading to a narrow band of estimated values for ξGL(0). Inspection of Fig. 6 reveals that the three length scales associated with the phase separation are of the same order of magnitude as the superconducting coherence length, and largely independent of Bi concentration. The shortest length scale, ζ, which characterizes the size of coherent regions within a given stripe, has a weak composition dependence, but does not grow to be larger than the superconducting coherence length for any composition, and is therefore expected to be less relevant than the larger length scales d and w associated with the period and width of the stripes. However, this length scale is presumably the one associated to the accommodation of the volume fraction of each polymorph. For low Bi concentrations, x<xopt, the coherence length is larger than the width of individual stripes. However, at optimal doping, the width of individual stripes almost exactly matches the superconducting coherence length. Further increasing the Bi concentration appears to result in a saturation of ξGL(0) which remains comparable to w. This behaviour is highly suggestive of an important role for the nanostructure in determining the shape of the superconducting dome, as we describe below.

In the context of an electronically inhomogeneous system, where the Coulomb potential seen by electrons varies spatially in a periodic way, with characteristic length λ, it has been shown theoretically that Tc does not necessarily track the pairing scale Δ0, that is, the superconducting gap magnitude14,38. Rather, the evolution of Tc is bounded above by two parameters: the pairing scale Δ0 and the phase ordering temperature Tθ. In the limit, where λ<<ξ (where ξ is the superconducting coherence length), TθΔ0, and Tc will be determined by Δ0. However, in the limit λ ξ, the phase ordering temperature Tθ is small compared with the pairing amplitude Δ0, and Tc is entirely determined by Tθ, meaning that Tc is suppressed with respect to Δ0. In this regime the material behaves as a granular superconductor, characterized by superconducting ‘islands’ that are only weakly coupled. For a system where the length scale of phase separation evolves with respect to the superconducting coherence length (or vice-versa), the maximum Tc value is obtained in the crossover regime of the curves of T and Δ0, which happens at λξ. This regime has been dubbed ‘optimal inhomogeneity’14,39. Although this model was originally developed based on a single-band Hubbard Hamiltonian in an uniform two-dimensional lattice, for which phase segregation with characteristic length scales of the order of the superconducting coherence length is spontaneous and originates from the strong electronic correlations, the consequences of the phase segregation on the shaping the superconducting dome in BaPb1–xBixO3 are still relevant. For BaPb1–xBixO3, the phase separation is structural and quenched from high temperatures (R.J. Cava, personal communication); however, given the large differences in electronic properties between both polymorphs, the modulation of the pairing interaction in the nanoscale is present and mimics the physical landscape found in the model presented above. Such a bounding of the superconducting dome by Tθ and Δ0 has been widely discussed in the field of granular superconductivity40,41,42,43. Similarly, the optimization and enhancement of Tc in heterostructures formed by the alternation of metallic stripes of width LλF, and superconducting stripes of width Wξ0, as a consequence of a possible shape resonance has been discussed by several authors12,44. Such configurations have been observed to naturally occur in cuprate superconductors, such as Bi2Sr2CaCu2O8+y and La2CuO4 (refs 5, 6), and have been proposed to generate an enhancement of Tc.

The phenomenology of BaPb1–xBixO3 appears to be consistent with a scenario in which the shape of the superconducting ‘dome’ is determined by the relative evolution of the pairing amplitude Δ0 and the phase ordering temperature Tθ, and in which tetragonal and orthorhombic polymorphs correspond to regions of the bulk material with large and small pairing interactions, respectively. The evolution with doping of the relative length scales characterized by ξGL and the phase separation is very suggestive of optimal doping being a turning point from a macroscopic inhomogeneous superconductor (with ξGL bigger than other characteristic length scales associated with disorder) for x<xopt to a phase-fluctuation-dominated granular superconductor for x>xopt (illustrated schematically in Fig. 8). Indeed, several signatures of granular superconductivity are observed in this regime, such as negative magnetoresistance for fields above Hc2(T), and scaling reminiscent of a superconductor-insulator quantum phase transition35. In addition, scanning tunnelling spectroscopy measurements for compositions beyond optimal doping show a large variation in gap values as a function of position, with maximum values exceeding those found in the higher Tc optimally doped material (C.P., et al. manuscript in preparation), suggesting that samples with x>xopt have a larger local pairing amplitude than expected for their macroscopic Tc, and even for an 11 K superconductor. This observation is consistent with a macroscopic Tc being bounded by the phase ordering line, Tθ, that is, with a granular superconductor picture (see Fig. 8). Significantly, these observations imply that for x>xopt the superconducting phase of this material (the tetragonal polymorph) is in fact a higher-temperature superconductor, possibly even comparable to the other bismuthate superconductor Ba1–xKxBiO3 (ref. 37).

Figure 8: Structural Phase separation and the superconducting dome.
figure8

Stylized cartoon illustrating the superconducting ‘dome’ in the T-x plane of BaPb1–xBixO3 and the effect of the competing length scales associated with structural phase separation and the superconducting coherence length (see discussion in main text). Red and blue regions correspond to tetragonal and orthorhombic polymorphs respectively, arranged in partially disordered stripes of width w. The pairing interaction is understood to originate in the tetragonal material25. In the cartoon, ξGL is the Ginzburg–Landau superconducting coherence length, and Δ0/kB and Tθ are the pairing amplitude and the phase condensation temperatures, respectively.

In the above analysis, the only significance of the stripe-like character of the nanostructure of BaPb1–xBixO3 has been that it has enabled us to establish the characteristic length scales with a little more precision than if we had assumed a more isotropic morphology. However, the stripe-like morphology possibly has a much deeper significance. In the context of BaPb1–xBixO3, this might provide a natural means to understand the unusual scaling behaviour observed at the superconductor-insulator transition close to optimal doping in this material35,36, motivating theoretical investigation of percolation effects near the quantum phase transition for a material with a ‘stripy’ morphology45,46,47,48,49. More broadly, several families of underdoped cuprates have been shown to exhibit stripe and/or unidirectional CDW formation1,2,3,4,5,6,7,8,9. Complexity and phase separation in these systems is an active field of study5,6,7,8,9,12,50,51, and the role and importance of these phenomena in the cuprates is still a matter of discussion. Significantly, in both cases, cuprates and bismuthates, the stripe-like phase separation and superconductivity are found to have comparable length scales. In this broader context, BaPb1–xBixO3 provides a model system to explore the effects of inhomogeneity and stripe-like phase separation on superconductivity.

Methods

Experimental details

Single crystals of BaPb1–xBixO3 were grown using a self-flux technique, similar to that described in (ref. 52). The cation composition was determined by electron microprobe analysis. These measurements revealed an uniform composition across each sample, within the experimental uncertainty (±0.02).

To obtain HRTEM measurements of BaPb1–xBixO3, samples of each concentration studied were crushed in liquid-nitrogen-cooled ethyl alcohol and the liquid was allowed to warm to room temperature. The slurry was stirred and a small droplet was placed on a holey carbon grid and dried in air. Measurements were taken at room temperature. The samples were analysed using a FEI G2 F20TEM Tecnai STEM operated at 200 keV. Thin areas were analysed with selected area diffraction, energy dispersive spectroscopy and high-resolution imaging. Thin areas were aligned with either the [010] or the [001] zone axis based on indexing to the Ibmm structure (space group no. 74), showing clear lattice fringes in the HRTEM. All the HRTEM images taken reveal a well-ordered structure, from which the information about the structural phase separation can be obtained in the way described in the text.

Additional information

How to cite this article: Giraldo-Gallo, P. et al. Stripe-like nanoscale structural phase separation in superconducting BaPb1–xBixO3. Nat. Commun. 6:8231 doi: 10.1038/ncomms9231 (2015).

References

  1. 1

    Tranquada, J. M., Sternlieb, B. J., Axe, J. D., Nakamura, Y. & Uchida, S. Evidence for stripe correlations of spins and holes in copper oxide superconductors. Nature 375, 561–563 (1995).

  2. 2

    Howald, C., Eisaki, H., Kaneko, N. & Kapitulnik, A. Coexistence of charged stripes and superconductivity in Bi2Sr2CaCu2O8+d . Proc. Natl Acad. Sci. USA 100, 9705–9709 (2003).

  3. 3

    Howald, C., Eisaki, H., Kaneko, N., Greven, M. & Kapitulnik, A. Periodic density-of-states modulations in superconducting Bi2Sr2CaCu2O8+d . Phys. Rev. B 67, 014533 (2003).

  4. 4

    LeTacon, M. et al. Giant phonon anomalies and central peak due to charge density wave formation in YBa2Cu3O6.6 . Nat. Phys. 10, 52–58 (2014).

  5. 5

    Bianconi, A., Saini, N. L., Lanzara, A., Missori, M. & Rossetti, T. Determination of the local lattice distortions in the CuO2 plane of La1.85Sr0.15CuO4 . Phys. Rev. Lett. 76, 2412–2415 (1996).

  6. 6

    Bianconi, A. et al. Stripe structure of the CuO2 plane in Bi2Sr2CaCu2O8+δ by anomalous X-ray diffraction. Phys. Rev. B 54, 4310–4314 (1996).

  7. 7

    Poccia, N. et al. Optimum inhomogeneity of local lattice distortions in La2CuO4+y . Proc. Natl Acad. Sci. U.S.A. 109, 15685–15690 (2012).

  8. 8

    Fratini, M. et al. Scale-free structural organization of oxygen interstitials in La2CuO4+y . Nature 466, 841–844 (2010).

  9. 9

    Ricci, A. et al. Multiscale distribution of oxygen puddles in 1/8 doped YBa2Cu3O6.67 . Sci. Rep. 3, 2383 (2013).

  10. 10

    Berg, E., Fradkin, E., Kivelson, S. A. & Tranquada, J. M. Striped superconductors: how spin, charge and superconducting orders intertwine in the cuprates. New J. Phys. 11, 115004 (2009).

  11. 11

    Kivelson, S. A. et al. How to detect fluctuating stripes in high temperature superconductors. Rev. Mod. Phys. 75, 1201–1241 (2003).

  12. 12

    Bianconi, A. On the possibility of new high Tc superconductors by producing metal heterostructures as in the cuprate perovskites. Solid State Commun. 89, 933–936 (1994).

  13. 13

    Bianconi, A. Shape resonances in multi-condensate granular superconductors formed by networks of nanoscale-striped puddles. J Phys: Conf. Series 449, 012002 (2013).

  14. 14

    Kivelson, S. A. & Fradkin, E. Treatise of High Temperature Sureconductivity: Chapter 15 Springer (2007).

  15. 15

    Berg, E., Orgad, D. & Kivelson, S. A. Route to high-temperature superconductivity in composite systems. Phys. Rev. B 78, 094509 (2008).

  16. 16

    Lang, K. M. et al. Imaging the granular structure of high-temperature superconductivity in underdoped Bi2Sr2CaCu2O8+δ . Nature 415, 412–416 (2002).

  17. 17

    Williams, D. B. & Carter, C. B. Transmission Electron Microscopy: A Textbook for Materials Science Springer US (2009).

  18. 18

    Uchida, S., Kitazawa, K. & Tanaka, S. Superconductivity and metal-semiconductor transition in BaPb1–xBixO3 . Phase Transit. 8, 95–128 (1987).

  19. 19

    Taraphder, A. et al. The exotic barium bismuthates. International J. Mod. Phys. B 10, 863–955 (1996).

  20. 20

    Gabovich, A. M. & Moiseev, D. P. Metal oxide superconductor BaPb1–xBixO3: Unusual properties and new applications. Sov. Phys. Usp 29, 1135–1145 (1986).

  21. 21

    Baumert, B. A. Barium potassium bismuth oxide: A review. J. Supercond. 8, 175–181 (1995).

  22. 22

    Yin, Z. P., Kutepov, A. & Kotliar, G. Correlation-enhanced electron-phonon coupling: Applications of GW and screened hybrid functional to bismuthates, chloronitrides, and other high Tc superconductors. Phys. Rev. X 3, 021011 (2013).

  23. 23

    Cava, R. J. et al. Superconductivity near 30 K without copper: the Ba0.6K0.4BiO3 perovskite. Nature 332, 814–816 (1988).

  24. 24

    Sleight, A. W., Gillson, J. L. & Bierstedt, P. E. High-temperature superconductivity in the system BaPb1–xBixO3 . Solid State Commun. 17, 27–28 (1975).

  25. 25

    Climent-Pascual, E., Ni, N., Jia, S., Huang, Q. & Cava, R. J. Polymorphism in BaPb1–xBixO3 at the superconducting compositions. Phys. Rev. B 83, 174512 (2011).

  26. 26

    Mattheiss, L. F. & Hamann, D. R. Electronic structure of BaPb1–xBixO3 . Phys. Rev. B 28, 4227–4241 (1983).

  27. 27

    Varma, C. M. Missing valence states, diamagnetic insulators and superconductors. Phys. Rev. Lett. 61, 2713–2716 (1988).

  28. 28

    Marx, D. T. et al. Metastable behavior of the superconducting phase in the BaPb1–xBixO3 system. Phys. Rev. B 46, 1144–1157 (1992).

  29. 29

    Boyce, J. B. et al. Local structure of BaPb1–xBixO3 determined by x-ray-absorption spectroscopy. Phys. Rev. B 44, 6961–6972 (1991).

  30. 30

    Menushenkov, A. On the mechanism of superconductivity in BaBi(Pb)O3,-Ba(K)BiO3 systems: analysis of xafs-spectroscopy data. Nucl. Instr. and Meth. in Phys. Res. A 405, 365–369 (1998).

  31. 31

    Glazer, A. M. The clasification of tilted octahedra in perovskites. Acta Cryst. B28, 3384–3392 (1972).

  32. 32

    Howard, C. J. & Stokes, H. T. Group theoretical analysis of octahedral tilting in perovskites. Acta Cryst. B54, 782–789 (1998).

  33. 33

    Fisher, I. R., Shapiro, M. C. & Analytis, J. G. Principles of crystal growth of intermetallic and oxide compounds from molten solutions. Philos. Mag. 92, 19–21 (2012).

  34. 34

    Lee, J. K., Barnett, D. M. & Aaronson, H. I. The elastic strain energy of coherent ellipsoidal precipitates in anisotropic crystalline solids. Metall. Trans.s A 8, 963–970 (1977).

  35. 35

    Giraldo-Gallo, P. et al. Field-tuned superconductor-insulator transition in BaPb1–xBixO3 . Phys. Rev. B 85, 174503 (2012).

  36. 36

    Giraldo-Gallo, P., Lee, H.-O., Beasley, M. R., Geballe, T. H. & Fisher, I. R. Inhomogeneous superconductivity in BaPb1–xBixO3 . J. Supercond. and Nov. Magn 26, 2675–2678 (2013).

  37. 37

    Luna, K., Giraldo-Gallo, P., Geballe, T. H., Fisher, I. R. & Beasley, M. R. Disorder driven metal-insulator transition in BaPb1–xBixO3 and inference of disorder-free critical temperature. Phys. Rev. Lett. 113, 177004 (2014).

  38. 38

    Emery, V. J. & Kivelson, S. A. Importance of phase fluctuations in superconductors with small superfluid density. Nature 374, 434–437 (1995).

  39. 39

    Arrigoni, E. & Kivelson, S. A. The optimal inhomogeneity for superconductivity. Phys. Rev. B 68, 180503 (2003).

  40. 40

    Eley, S., Gopalakrishnan, S., Goldbart, P. M. & Mason, N. Approaching zero-temperature metallic states in mesoscopic superconductor—normal—superconductor arrays. Nat. Phys. 8, 59–62 (2012).

  41. 41

    Bouadim, K., Loh, Y. L., Randeria, M. & Trivedi, N. Single- and two-particle energy gaps across the disorder-driven superconductor insulator transition. Nat. Phys. 7, 884–889 (2011).

  42. 42

    Trivedi, N., Loh, Y. L., Bouadim, K. & Randeria, M. Emergent granularity and pseudogap near the superconductor-insulator transition. J Phys: Conf. Series 376, 012001 (2012).

  43. 43

    Sacépé, B. et al. Localization of preformed cooper pairs in disordered superconductors. Nat. Phys. 7, 239–244 (2011).

  44. 44

    Thompson, C. & Blatt, J. Shape resonances in superconductors—II simplified theory. Phys. Lett. 5, 6–9 (1963).

  45. 45

    Vojta, T. & Schmalian, J. Percolation quantum phase transitions in diluted magnet. Phys. Rev. Lett. 95, 237206 (2005).

  46. 46

    Phillips, P. & Chamon, C. Breakdown of one-parameter scaling in quantum critical scenarios for high-temperature copper-oxide superconductors. Phys. Rev. Lett. 95, 107002 (2005).

  47. 47

    Pinheiro, C. F. S. & de Mello, E. V. L. Random resistivity network calculations for cuprate superconductors with an electronic phase separation transition. Physica A 391, 1532–1539 (2012).

  48. 48

    Bianconi, G. Superconductor-insulator transition on annealed complex networks. Phys. Rev. E 85, 061113 (2012).

  49. 49

    Bianconi, G. Superconductor-insulator transition in a network of 2d percolation clusters. Europhys. Lett. 101, 26003 (2013).

  50. 50

    Bianconi, A. et al. The measurement of the polaron size in the metallic phase of cuprate superconductors. Europhys. Lett. 31, 411–415 (1995).

  51. 51

    Ricci, A. et al. Networks of superconducting nano-puddles in 1/8 doped YBa2Cu3O6.5+y controlled by thermal manipulation. New J. Phys. 16, 053030 (2014).

  52. 52

    Katsui, A. Single crystal growth of BaPb1–xBixO3 . Jpn. J. Appl. Phys. 21, L553–L554 (1982).

Download references

Acknowledgements

We thank S.A. Kivelson for helpful discussions. This work is supported by AFOSR grant no. FA9550-09-1-0583. The electron microscopy was performed at Ames Laboratory (Y.Z. and M.J.K.) and supported by the US Department of Energy (DOE), Office of Basic Energy Science (BES), Division of Materials Sciences and Engineering, under Contract No. DE-AC02-07CH11358. C.P. and H.C.M. were supported by US Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), Materials Sciences and Engineering Division, under contract DE-AC02-76SF00515.

Author information

P.G.-G. and I.R.F. grew the single crystals, performed the transport measurements, analysed the HRTEM images and lead the discussion and the paper writing process. Y.Z. and M.J.K performed the HRTEM measurements, analysed the HRTEM images, and participated in the discussion and in the paper writing process. C.P., H.C.M., M.R.B. and T.H.G. participated in the discussion.

Correspondence to P. Giraldo-Gallo.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Figures 1-13, Supplementary Tables 1-2, Supplementary Notes 1-9 and Supplementary References. (PDF 3697 kb)

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.