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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 (Verlagsversion), 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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Türk, Hanna1, Autor           
Götsch, Thomas2, Autor           
Schmidt, Franz2, Autor           
Hammud, Adnan2, Autor           
Ivanov, Danail2, Autor           
J. L. G., (Bert) de Haart, Autor
Vinke, Izaak C., Autor
Eichel, Rüdiger-A., Autor
Schlögl, Robert2, Autor           
Reuter, Karsten1, Autor           
Knop-Gericke, Axel2, Autor           
Lunkenbein, Thomas2, Autor           
Scheurer, Christoph1, Autor           
Affiliations:
1Theory, Fritz Haber Institute, Max Planck Society, ou_634547              
2Inorganic Chemistry, Fritz Haber Institute, Max Planck Society, ou_24023              

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 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2022-07-052022-03-012022-10-10
 Publikationsstatus: Online veröffentlicht
 Seiten: 13
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/cctc.202200300
 Art des Abschluß: -

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Titel: ChemCatChem
  Andere : ChemCatChem
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Weinheim : Wiley-VCH
Seiten: 13 Band / Heft: 14 (19) Artikelnummer: e202200300 Start- / Endseite: - Identifikator: ISSN: 1867-3880
CoNE: https://pure.mpg.de/cone/journals/resource/1867-3880