| Literature DB >> 31615992 |
Jiarui Li1, Jonathan Pelliciari1, Claudio Mazzoli2, Sara Catalano3,4, Forrest Simmons5, Jerzy T Sadowski6, Abraham Levitan1, Marta Gibert7, Erica Carlson5,8, Jean-Marc Triscone3, Stuart Wilkins2, Riccardo Comin9.
Abstract
Strongly correlated quantum solids are characterized by an inherently granular electronic fabric, with spatial patterns that can span multiple length scales in proximity to a critical point. Here, we use a resonant magnetic X-ray scattering nanoprobe with sub-100 nm spatial resolution to directly visualize the texture of antiferromagnetic domains in NdNiO3. Surprisingly, our measurements reveal a highly textured magnetic fabric, which we show to be robust and nonvolatile even after thermal erasure across its ordering temperature. The scale-free distribution of antiferromagnetic domains and its non-integral dimensionality point to a hitherto-unobserved magnetic fractal geometry in this system. These scale-invariant textures directly reflect the continuous nature of the magnetic transition and the proximity of this system to a critical point. The present study not only exposes the near-critical behavior in rare earth nickelates but also underscores the potential for X-ray scattering nanoprobes to image the multiscale signatures of criticality near a critical point.Entities:
Year: 2019 PMID: 31615992 PMCID: PMC6794273 DOI: 10.1038/s41467-019-12502-0
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Fig. 1Experimental setup and nanoscale antiferromagnetic landscape in NdNiO3. The combined use of a Fresnel zone plate and an order sorting aperture delivers a ~ 100 nm focused soft X-ray spot at the sample. The magnetic Bragg diffraction patterns are visualized with a fast area detector. a Knife edge scan, demonstrating a spot size of around 100 nm at 852.5 eV (Ni-L resonance). b The sample was oriented to intercept the antiferromagnetic diffraction peak at QAFM = [¼, ¼, ¼]pc (reciprocal lattice units in pseudocubic notation) arising from ordering within the Ni spin sublattice[38,39]. c The spatial map of magnetic scattering intensity exposes a highly inhomogeneous electronic landscape at the nanoscale. Arrows indicate the local pseudocubic crystallographic orientation. Each arrow length spans 1 μm in the sample frame of reference. Notice that in this scattering geometry, owing to the sample surface not being normal to the incident X-ray beam, additional geometric factors need to be accounted for when converting lateral beam translation footprint (defined in lab frame) onto the sample surface (sample frame)
Fig. 2Magnetic texture vs. temperature. a–c Evolution of the spatial AFM order parameter (square root of scattering intensity) during a thermal cycle across TNéel at temperatures corresponding to the plot markers in (d). Min/max color scales are specific to each map. Black dashed contours outline the AFM domains at 130 K (warming cycle (a) and are also overlaid in (b) and (c) to highlight the evolution. The apc and bpc crystallographic axes are indicated in (c); the arrow length corresponds to 1 μm in the sample frame. d Temperature dependence of the [¼, ¼, ¼]pc AFM Bragg peak intensity, measured using a macroscopic X-ray beam, shows a typical first-order like hysteresis [red (blue) curve is the warming (cooling) cycle]. The temperatures of maps a–c are marked out as well. e The projected AFM landscape map on the sample surface. Note that the measured sample area is not square, and the projected shape, size, and orientation of the AFM domain landscape are shown in the top right inset
Fig. 3Fractal magnetic patterns. a The AFM domain map at 130 K (warming cycle) is binarized to highlight the AFM domains at the ordering vector probed here (yellow), vs. other, symmetry-equivalent ones to which we are not sensitive in the present geometry (blue). b The logarithmically binned AFM domain area distributions follow a scale-free power-law distribution (D~A−) with the critical exponent τ = 1.25 ± 0.04. Dashed lines are power-law fits to the experimental data points. Hollow markers represent points excluded from the fit. c, d Domain perimeter (P) and area (A) vs. gyration radius (Rg) with logarithmic binning. Dashed lines are power-law fits of and with the critical exponents d = 1.23 ± 0.03 and d = 1.78 ± 0.07. The power-law scaling and corresponding critical exponents (d, d) reveal a robust scale-invariant texture at all temperatures. e Pair connectivity function vs. distance (r) with logarithmic binning. The dash lines are fits to a power-law function with an exponential cutoff where ξ is the correlation length and η = 0.32 ± 0.13 is the exponent for the connectivity function. f Overlay of the temperature dependence of the [¼, ¼, ¼]pc AFM Bragg peak intensity with the correlation lengths extracted from the pair connectivity function. The error bars for correlation lengths at 130 K are smaller than marker size