XXV General Assembly and Congress of the
International Union of Crystallography - IUCr 2021
August 14 - 22, 2021 | Prague, Czech Republic
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 1st Nov 2024, 01:11:33am CET
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Session Overview |
Session | ||
MS-40: New applications of coherent scattering
Invited: Johanned Ihli (Switzerland), Foivos Perakis (Sweden) | ||
Session Abstract | ||
This should have a real new life by the fact that the 4th gen synchrotrons will boost their coherence volume. Plus new techniques and also progress with XPCS at XFELs provides new insight: XCCA, XPCS and its variants, applications to new systems For all abstracts of the session as prepared for Acta Crystallographica see PDF in Introduction, or individual abstracts below. | ||
Introduction | ||
Presentations | ||
10:20am - 10:25am
Introduction to session 10:25am - 10:55am
Molecular movies with X-ray photon correlation spectroscopy Physics Department, Stockholm University, Stockholm, Sweden In this presentation, I will highlight research opportunities and challenges in probing structural dynamics of molecular systems using X-ray Photon Correlation Spectroscopy (XPCS). The development of new X-ray sources, such as 4th generation storage rings and X-ray free-electron lasers (XFELs), provides promising new insights into molecular motion. Employing XPCS at these sources allows to capture a very broad range of timescales and lengthscales, spanning from femtoseconds to minutes and atomic scales to the mesoscale. Here, I will discuss the scientific questions that can be addressed with these novel tools for two prominent examples: the dynamics of supercooled water [1,2] and proteins [3]. Finally, I will provide practical tips for designing and estimating feasibility of XPCS experiments as well as on detecting and mitigating radiation damage. [1] F. Perakis, K. Amann-Winkel, F. Lehmkühler, M. Sprung, D. Mariedahl, J. A. Sellberg, H. Pathak, A. Späh, F. Cavalca, D. Schlesinger, A. Ricci, A. Jain, B. Massani, F. Aubree, C. J. Benmore, T. Loerting, G. Grübel, L. G. M. Pettersson and A. Nilsson, Proc. Natl. Acad. Sci. U.S.A. 114, 8193-8198 (2017) 10:55am - 11:25am
Visualizing the effect additives have on the nanostructure of individual bio-inspired calcite crystal 1Paul Scherrer Institute, Villigen PSI, Switzerland; 2University of Leeds; 3University of Sheffield; 4Argonne National Laboratory; 5University College London Additives provide a versatile strategy for controlling crystallization processes, enabling selection of properties including crystal sizes, morphologies, and structures. The additive species can also be incorporated within the crystal and even the crystal lattice itself, leading for example to enhanced mechanical properties. However, while many techniques are available for analysing particle shape and structure, it remains challenging to characterize the structural inhomogeneities and defects introduced into individual crystals by these additives, where these govern many important material properties. Here, we exploit coherent diffraction imaging methods to visualize the distribution of additives within as well as the effects additives have on the internal structure of individual calcite crystals. Highlighted are how factors including supersaturation, solution composition and additive-crystal interactions govern the distribution of additives in single crystals. Further, emphasized is the emergence of a range of complex strain and zonation patterns depending on the nature of the additive, diverging in part and locally from commonly suggested distribution models. This work contributes to our understanding of the factors that govern the structure-property relationships of crystalline materials, where a controlled utilization of additives will ultimately inform the design of next-generation materials. 11:25am - 11:45am
Cateretê: The Coherent X-ray Scattering Beamline at the 4th generation synchrotron facility SIRIUS Brazilian Synchrotron Light Laboratory (LNLS), Brazilian Center for Research in Energy and Materials (CNPEM) Cateretê, the coherent X-ray scattering beamline at the new Brazilian synchrotron 5bent-achromat source, Sirius [1] is dedicated to coherent diffraction imaging (CDI) as well as X-ray photon correlation spectroscopy (XPCS) studies. Making the most of the coherence properties of the ultra-low emittance of the Sirius accelerator, will enable to perform 3D imaging of micrometer sized specimen down to few nanometers spatial resolution. The Cateretê beamline is equipped with an undulator source, in a low-beta straight section, and two cryo-cooled focussing mirrors creating a 41 x 36 mm2 (FWHM at 9 keV) coherent beam at 88 m from the source. The beamline operates in the 4 to 24 keV energy range using a horizontally deflecting 4-bounce crystal monochromator (4CM). Moving the 4CM laterally by a few mm, enables to operate the beamline in pink beam mode, maintaining the beam position unchanged. The experimental station is located 88 m from the source, followed by a 28 meters vacuum chamber hosting the Medipix (3k x 3k pixels2) in-vacuum detector. The beamline, now under commissioning, will enable to perform imaging in reciprocal space, with a particular focus on in situ imaging as well as cryo-imaging experiments [2], [3]. To date, we measured and obtained the first three-dimensional reconstruction of a 6 microns cube zeolite crystal. XPCS studies of zeolite nucleation and growth have also been performed and will be presented. An operando reaction cell, enabling to image catalysts under realistic catalytic conditions and a cryogenic sample environment are under development. The latter will allow 2D and tomographic data acquisition of specimens loaded in capillaries or flat substrates such as Si3N4membranes. The cryo-system is based on a low-flow cryo-cooled He gas preserving the sample stability and operates in a controlled humidity atmosphere preventing ice formation. I will describe the Cateretê beamline and present the latest results obtained using plane-wave CDI as well as XPCS. [1] L. Liu, N. Milas, A. H. C. Mukai, X. R. Resende, and F. H. De Sá, “The sirius project,” J. Synchrotron Radiat., vol. 21, no. 5, pp. 904–911, 2014. [2] A. R. Passos et al., “Three-dimensional strain dynamics govern the hysteresis in heterogeneous catalysis,” Nat. Commun., vol. 11, no. 1, pp. 1–8, 2020. [3] C. C. Polo et al., “Correlations between lignin content and structural robustness in plants revealed by X-ray ptychography,” Sci. Rep., vol. 10, no. 1, pp. 1–11, 2020. Acknowledgements: MCTI, CNPq, Fapesp (2014/25964-5). 11:45am - 12:05pm
Burning cups and donuts: what coherent X-rays can reveal about topological defects 1European Synchrotron Radiation Facility, 71 Avenue des Martyrs, 38000 Grenoble, France; 2Tohoku University, Laboratory for Nanoelectronics and Spintronics, Sendai 980-8577, Japan; 3Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, NY 12180 Troy, USA Topological defects are at the heart of many intriguing phenomena in fields as diverse as biology and materials science. Ability to manipulate the topological order at will has transformative implications for nanotechnology, particularly for next generation spintronic devices, solar cells, photonics, reconfigurable electronics, catalysts, and energy and information storage. To achieve such control, we must deepen our understanding of topological textures. It is therefore essential to comprehend their nature in 3D. [1] D. Karpov, Z. Liu, T. dos Santos Rolo, R. Harder, P. V. Balachandran, D. Xue, T. Lookman, and E. Fohtung, “Three-dimensional imaging of vortex structure in a ferroelectric nanoparticle driven by an electric field”, Nat. Comm. 8, 280 (2017)[2] D. Karpov, Z. Liu, A. Kumar, B. Kiefer, R. Harder, T. Lookman, and E. Fohtung, “Nanoscale topological defects and improper ferroelectric domains in multiferroic barium hexaferrite nanocrystals”, Phys. Rev. B 100, 054432 (2019)[3] High-resolution three-dimensional imaging of topological textures in gyroid networks (manuscript in preparation). 12:05pm - 12:25pm
Coherent diffraction imaging at space-group forbidden reflections 1SIMaP, CNRS / Grenoble INP / Univ Grenoble Alpes, France; 2CEA, IRIG, France; 3ESRF, France; 4Diamond Light Source, United Kingdom On one hand, coherent diffraction imaging (CDI) in Bragg geometry has emerged as a unique 3D microscopy of nanocrystals thanks to 3rd generation synchrotron sources. Away from absorption edges and at space-group allowed reflections, it provides not only the electronic density, but also, encoded in the phase, the atomic displacement field with respect to the mean lattice, which in turn reveals crystal strain, defects and domains [1–3]. On the other hand, some crystal structures have crystallographic reflections which are forbidden by the space-group symmetry but can nevertheless be observed at a suitable X-ray absorption edge, due to the anisotropy of the tensor of scattering (ATS) [4]. They are several orders of magnitude weaker than allowed reflections, but the absence of Thomson scattering allows the observation of various electronic phenomena related to electronic orders (magnetic, charge, orbital), static and dynamic atomic displacements. [1] Robinson, I. & Harder, R. (2009). Nature Materials 8, 291. The authors ackowledge the ESRF for beamtime allocation under project number MI-1377. 12:25pm - 12:45pm
Machine Leaning approach to the phase problem in Bragg Coherent Diffraction Imaging University College, London, United Kingdom A solution to the crystallographic “phase problem” was proposed by David Sayre immediately after the announcement of Shannon’ Information Theorem, requiring the diffraction to be sampled more than twice as finely as the Bragg peak spacing [1]. The implicit need for X-ray coherence has been happily solved with the development of the latest synchrotron sources, where Bragg Coherent Diffraction Imaging (BCDI) experiments are routinely performed. The fringed diffraction patterns can be oversampled so as to overdetermine the phase problem. Iterative algorithms that converge on the solution. Despite meeting all the oversampling requirements of Sayre and Shannon, current iterative phase retrieval approaches still have trouble achieving a unique inversion of experimental data in the presence of noise. We propose to overcome this limitation by employing Machine Learning in a Convolutional Neural Network model which combines supervised training with unsupervised refinement. Remarkably, our model can be used without any prior training to learn the missing phases of an image based on minimization of an appropriate “loss function” alone. We demonstrate significantly improved performance with experimental Bragg CDI data over traditional iterative phase retrieval algorithms [1,2]. |
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