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  Sr Surface Enrichment in Solid Oxide Cells – Approaching the Limits of EDX Analysis by Multivariate Statistical Analysis and Simulations

Türk, H., Götsch, T., Schmidt, F., Hammud, A., Ivanov, D., J. L. G., (. d. H., et al. (2022). Sr Surface Enrichment in Solid Oxide Cells – Approaching the Limits of EDX Analysis by Multivariate Statistical Analysis and Simulations. ChemCatChem, 14(19): e202200300. doi:10.1002/cctc.202200300.

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ChemCatChem - 2022 - T rk - Sr Surface Enrichment in Solid Oxide Cells Approaching the Limits of EDX Analysis by.pdf (Publisher version), 4MB
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ChemCatChem - 2022 - T rk - Sr Surface Enrichment in Solid Oxide Cells Approaching the Limits of EDX Analysis by.pdf
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 Creators:
Türk, Hanna1, Author           
Götsch, Thomas2, Author           
Schmidt, Franz2, Author           
Hammud, Adnan2, Author           
Ivanov, Danail2, Author           
J. L. G., (Bert) de Haart, Author
Vinke, Izaak C., Author
Eichel, Rüdiger-A., Author
Schlögl, Robert2, Author           
Reuter, Karsten1, Author           
Knop-Gericke, Axel2, Author           
Lunkenbein, Thomas2, Author           
Scheurer, Christoph1, Author           
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1Theory, Fritz Haber Institute, Max Planck Society, ou_634547              
2Inorganic Chemistry, Fritz Haber Institute, Max Planck Society, ou_24023              

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 Abstract: In solid oxide cells, Sr segregation has been correlated with degradation. Yet, the atomistic mechanism remains unknown. Here we begin to localize the origin of Sr surface nucleation by combining force field based simulations, energy dispersive X-ray spectroscopy (EDX), and multi-variate statistical analysis. We find increased ion mobility in the complexion between yttria-stabilized zirconia and strontium-doped lanthanum manganite. Furthermore, we developed a robust and automated routine to detect localized nucleation seeds of Sr at the complexion surface. This hints at a mechanism originating at the complexion and requires in-depth studies at the atomistic level, where the developed routine can be beneficial for analyzing large hyperspectral EDX datasets.

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Language(s): eng - English
 Dates: 2022-07-052022-03-012022-10-10
 Publication Status: Published online
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/cctc.202200300
 Degree: -

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Title: ChemCatChem
  Other : ChemCatChem
Source Genre: Journal
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Publ. Info: Weinheim : Wiley-VCH
Pages: 13 Volume / Issue: 14 (19) Sequence Number: e202200300 Start / End Page: - Identifier: ISSN: 1867-3880
CoNE: https://pure.mpg.de/cone/journals/resource/1867-3880