Title: Bragg coherent X-ray diffraction for a look inside nanostructures: interface & catalysis
M.-I. Richard1,2,*, M. Dupraz1,2 , N. Li11,2 J. Carnis3,2,5, L. Wu2,3, S. Labat3, S.J. Leake2, L. Gao4, J.P. Hofmann4, S. Fernández2,3, M. Sprung5, A. Resta6, T.U. Schülli2, E.J.M Hensen4, O. Thomas3
1 Univ. Grenoble Alpes, CEA Grenoble, IRIG/MEM/NRS, 17 rue des Martyrs 38000 Grenoble, France
2ID01/ESRF, The European Synchrotron, 71 Avenue des Martyrs, Grenoble 38043 Cedex, France,
3Aix Marseille Université, CNRS, Université de Toulon, IM2NP UMR 7334, 13397, Marseille, France
4Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, P. O. Box 513, 5600MB Eindhoven, The Netherlands
5PETRA III, Deutsches Elektronen-Synchrotron (DESY), D-22607 Hamburg, Germany
6Synchrotron SOLEIL, L’Orme des Merisiers, Saint-Aubin, BP 48, Gif-sur-Yvette 91192, France
mrichard@esrf.fr
Characterising the structural properties (strain gradients, chemical composition, crystal orientation and defects) inside nanostructures is a grand challenge in materials science. Bragg coherent diffraction imaging (Bragg CDI) can be utilised to address this challenge for crystalline nanostructures. A resolution of the structural properties of less than 10 nm is achieved up-to-date [1–3]. The capabilities of the Bragg CDI technique will be demonstrated on single nanoparticles for enhanced catalysis.
As an example, the Bragg CDI technique [4,5] allows understanding the interplay between shape, size, strain, faceting [5], composition and defects at the nanoscale. We will demonstrate that Bragg CDI on a single particle model catalyst makes it possible to map its local strain/defect field and directly image strain build-up close to the facets. We will also show results obtained during in situ [6-9] and operando Bragg CDI measurements: it was possible to track a single particle in gas or liquid phase environments to monitor its facet changes and to measure its strain/defect response to reaction. This technique opens pathways to determine and control the internal structure of nanoparticles to tune and optimise them during catalytic and other chemical reactions.
Finally, we will present results from the use of a convolutional neural network [10] and from the EBS-ESRF Upgrade.
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[2] S. Labat, M.-I. Richard, M. Dupraz, M. Gailhanou, et al., Inversion Domain Boundaries in GaN Wires Revealed by Coherent Bragg Imaging, ACS Nano 9, 9210 (2015).
[3] N. Li, S. Labat, S. J. Leake, et al., Mapping Inversion Domain Boundaries along Single GaN Wires with Bragg Coherent X-Ray Imaging, ACS Nano 14, 10305 (2020).
[4] J. Carnis, L. Gao, S. Labat, et al., Towards a Quantitative Determination of Strain in Bragg Coherent X-Ray Diffraction Imaging: Artefacts and Sign Convention in Reconstructions, Sci Rep 9, 1 (2019).
[5] N. Li, M. Dupraz, L. Wu, et al., Continuous Scanning for Bragg Coherent X-Ray Imaging, Sci Rep 10, 12760 (2020).
[6] M.-I. Richard, S. Fernández, et al., Crystallographic Orientation of Facets and Planar Defects in Functional Nanostructures Elucidated by Nano-Focused Coherent Diffractive X-Ray Imaging, Nanoscale 10, 4833 (2018).
[7] M.-I. Richard, S. Fernández, et al., Reactor for Nano-Focused X-Ray Diffraction and Imaging under Catalytic in Situ Conditions, Review of Scientific Instruments 88, 093902 (2017).
[8] S. Fernández, L. Gao, J. P. Hofmann, et al., In Situ Structural Evolution of Single Particle Model Catalysts under Ambient Pressure Reaction Conditions, Nanoscale 11, 331 (2019).
[9] M.-I. Richard, S. Fernández, J. P. Hofmann, et al., Reactor for Nano-Focused X-Ray Diffraction and Imaging under Catalytic in Situ Conditions, Review of Scientific Instruments 88, 093902 (2017).
[10] J. Carnis, et al., Twin boundary migration in an individual platinum nanocrystal during catalytic CO
oxidation, Nat. Commun., accepted (2021).
[11] B. Lim, E. Bellec, M. Dupraz, S. Leake, et al., A Convolutional Neural Network for Defect Classification in Bragg Coherent X-Ray Diffraction, Npj Comput Mater 7, 1 (2021).