Sr Surface Enrichment in Solid Oxide Cells – Approaching the Limits of EDX Analysis by Multivariate Statistical Analysis and Simulations. Issue 19 (1st August 2022)

• Record Type: Journal Article
• Authors: Türk, Hanna; Götsch, Thomas; Schmidt, Franz‐Philipp; Hammud, Adnan; Ivanov, Danail; de Haart, L. G. J. (Bert); Vinke, Izaak C.; Eichel, Rüdiger‐A.; Schlögl, Robert; Reuter, Karsten; Knop‐Gericke, Axel; Lunkenbein, Thomas; Scheurer, Christoph
• Is Part Of: ChemCatChem. Volume 14:Issue 19(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-08-01
• Subjects: complexion -- electron microscopy -- interfaces -- molecular modeling -- segregation; Catalysis -- Periodicals; 541.39505
• DOI: 10.1002/cctc.202200300
• Languages: English
• ISSNs: 1867-3880

Abstract

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. Abstract : Ions : An increased mobility of all ions inside the complexion between YSZ and LSM in solid oxide electrolysis cells is observed, enhancing Sr accumulations at the surface. Experimentally, strontium enrichments are tracked on the sub‐nanoscale using elemental mapping by a procedure involving post‐acquisition drift correction, multivariate analysis and statistical tests.