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Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials

The performance of functional materials is either driven or limited by nanoscopic heterogeneities distributed throughout the material’s volume. To better our understanding of these materials, we need characterization tools that allow us to determine the nature and distribution of these heterogeneiti...

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Autores principales: Gao, Zirui, Odstrcil, Michal, Böcklein, Sebastian, Palagin, Dennis, Holler, Mirko, Ferreira Sanchez, Dario, Krumeich, Frank, Menzel, Andreas, Stampanoni, Marco, Mestl, Gerhard, van Bokhoven, Jeroen Anton, Guizar-Sicairos, Manuel, Ihli, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189584/
https://www.ncbi.nlm.nih.gov/pubmed/34108209
http://dx.doi.org/10.1126/sciadv.abf6971
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author Gao, Zirui
Odstrcil, Michal
Böcklein, Sebastian
Palagin, Dennis
Holler, Mirko
Ferreira Sanchez, Dario
Krumeich, Frank
Menzel, Andreas
Stampanoni, Marco
Mestl, Gerhard
van Bokhoven, Jeroen Anton
Guizar-Sicairos, Manuel
Ihli, Johannes
author_facet Gao, Zirui
Odstrcil, Michal
Böcklein, Sebastian
Palagin, Dennis
Holler, Mirko
Ferreira Sanchez, Dario
Krumeich, Frank
Menzel, Andreas
Stampanoni, Marco
Mestl, Gerhard
van Bokhoven, Jeroen Anton
Guizar-Sicairos, Manuel
Ihli, Johannes
author_sort Gao, Zirui
collection PubMed
description The performance of functional materials is either driven or limited by nanoscopic heterogeneities distributed throughout the material’s volume. To better our understanding of these materials, we need characterization tools that allow us to determine the nature and distribution of these heterogeneities in their native geometry in 3D. Here, we introduce a method based on x-ray near-edge spectroscopy, ptychographic x-ray computed nanotomography, and sparsity techniques. The method allows the acquisition of quantitative multimodal tomograms of representative sample volumes at sub–30 nm half-period spatial resolution within practical acquisition times, which enables local structure refinements in complex geometries. To demonstrate the method’s capabilities, we investigated the transformation of vanadium phosphorus oxide catalysts with industrial use. We observe changes from the micrometer to the atomic level and the formation of a location-specific defect so far only theorized. These results led to a reevaluation of these catalysts used in the production of plastics.
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spelling pubmed-81895842021-06-22 Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials Gao, Zirui Odstrcil, Michal Böcklein, Sebastian Palagin, Dennis Holler, Mirko Ferreira Sanchez, Dario Krumeich, Frank Menzel, Andreas Stampanoni, Marco Mestl, Gerhard van Bokhoven, Jeroen Anton Guizar-Sicairos, Manuel Ihli, Johannes Sci Adv Research Articles The performance of functional materials is either driven or limited by nanoscopic heterogeneities distributed throughout the material’s volume. To better our understanding of these materials, we need characterization tools that allow us to determine the nature and distribution of these heterogeneities in their native geometry in 3D. Here, we introduce a method based on x-ray near-edge spectroscopy, ptychographic x-ray computed nanotomography, and sparsity techniques. The method allows the acquisition of quantitative multimodal tomograms of representative sample volumes at sub–30 nm half-period spatial resolution within practical acquisition times, which enables local structure refinements in complex geometries. To demonstrate the method’s capabilities, we investigated the transformation of vanadium phosphorus oxide catalysts with industrial use. We observe changes from the micrometer to the atomic level and the formation of a location-specific defect so far only theorized. These results led to a reevaluation of these catalysts used in the production of plastics. American Association for the Advancement of Science 2021-06-09 /pmc/articles/PMC8189584/ /pubmed/34108209 http://dx.doi.org/10.1126/sciadv.abf6971 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Gao, Zirui
Odstrcil, Michal
Böcklein, Sebastian
Palagin, Dennis
Holler, Mirko
Ferreira Sanchez, Dario
Krumeich, Frank
Menzel, Andreas
Stampanoni, Marco
Mestl, Gerhard
van Bokhoven, Jeroen Anton
Guizar-Sicairos, Manuel
Ihli, Johannes
Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
title Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
title_full Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
title_fullStr Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
title_full_unstemmed Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
title_short Sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
title_sort sparse ab initio x-ray transmission spectrotomography for nanoscopic compositional analysis of functional materials
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189584/
https://www.ncbi.nlm.nih.gov/pubmed/34108209
http://dx.doi.org/10.1126/sciadv.abf6971
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