Výsledky vyhledávání - "Richard, Marie‐ingrid"

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Patching-based Deep Learning model for the Inpainting of Bragg Coherent Diffraction patterns affected by detectors' gaps

Autor: Masto, Matteo, Favre-Nicolin, Vincent, Leake, Steven, Schülli, Tobias, Richard, Marie-Ingrid, Bellec, Ewen

We propose a deep learning algorithm for the inpainting of Bragg Coherent Diffraction Imaging (BCDI) patterns affected by detector gaps. These regions of missing intensity can compromise the accuracy of reconstruction algorithms, inducing artifacts i

Externí odkaz: http://arxiv.org/abs/2403.08596

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Variable-wavelength quick scanning nano-focused X-ray microscopy for in situ strain and tilt mapping

Autor: Richard, Marie-ingrid, Cornelius, Thomas W, Lauraux, Florian, Molin, Jean-Baptiste, Kirchlechner, Christoph, Leake, Steven J, Carnis, Jérôme, Schülli, Tobias U, Thilly, Ludovic, Thomas, Olivier

Publikováno v: Small, Wiley-VCH Verlag, 2020

Compression of micro-pillars is followed in situ by a quick nano-focused X-ray scanning microscopy technique combined with three-dimensional reciprocal space mapping. Compared to other attempts using 2 X-ray nanobeams, it avoids any motion or vibrati

Externí odkaz: http://arxiv.org/abs/2206.13297

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Imaging the Breathing of a Platinum Nanoparticle in Electrochemical Environment

Autor: Atlan, Clément, Chatelier, Corentin, Dupraz, Maxime, Martens, Isaac, Viola, Arnaud, Li, Ni, Gao, Lu, Leake, Steven J., Schülli, Tobias U., Eymery, Joël, Maillard, Frédéric, Richard, Marie-Ingrid

Surface strain is widely used in gas phase catalysis and electrocatalysis to control the binding energies of adsorbates on metal surfaces. However, $in$ $situ$ or $operando$ strain measurements are experimentally challenging, especially on nanomateri

Externí odkaz: http://arxiv.org/abs/2203.06941

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A convolutional neural network for defect classification in Bragg coherent X-ray diffraction

Autor: Lim, Bruce, Bellec, Ewen, Dupraz, Maxime, Leake, Steven, Resta, Andrea, Coati, Alessandro, Sprung, Michael, Almog, Ehud, Rabkin, Eugen, Schülli, Tobias, Richard, Marie-Ingrid

Coherent diffraction imaging enables the imaging of individual defects, such as dislocations or stacking faults, in materials.These defects and their surrounding elastic strain fields have a critical influence on the macroscopic properties and functi

Externí odkaz: http://arxiv.org/abs/2106.16179

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Bragg Coherent Imaging of nanoprecipitates: role of superstructure reflections

Autor: Dupraz, Maxime, Leake, Steven J., Richard, Marie-Ingrid

Publikováno v: September 2020 Journal of Applied Crystallography 53(5):1353-1369

Coherent precipitation of ordered phases is responsible for providing exceptional high temperature mechanical properties in a wide range of compositionally complex alloys (CCAs). Ordered phases are also essential to enhance the magnetic or catalytic

Externí odkaz: http://arxiv.org/abs/2102.12269

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PyNX: high performance computing toolkit for coherent X-ray imaging based on operators

Autor: Favre-Nicolin, Vincent, Girard, Gaétan, Leake, Steven, Carnis, Jérôme, Chushkin, Yuriy, Kieffer, Jérôme, Paléo, Pierre, Richard, Marie-Ingrid

Publikováno v: Journal of Applied Crystallography 53 (2020),1404-1413

The open-source PyNX toolkit [Favre-Nicolin et al (2011) arXiv:1010.2641, Mandula et al (2016)] has been extended to provide tools for coherent X-ray imaging data analysis and simulation. All calculations can be executed on graphical processing units

Externí odkaz: http://arxiv.org/abs/2008.11511

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