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Efficient exploration of this extensive compositional space is now achievable through automated high\u2010throughput experimentation combined with machine learning. In this study, we investigate the composition\u2013structure\u2013performance relationships of high\u2010entropy La\n                    <jats:sub>0.8<\/jats:sub>\n                    Sr\n                    <jats:sub>0.2<\/jats:sub>\n                    Mn\n                    <jats:sub>x<\/jats:sub>\n                    Co\n                    <jats:sub>y<\/jats:sub>\n                    Fe\n                    <jats:sub>z<\/jats:sub>\n                    O\n                    <jats:sub>3\u00b1\ud835\udfad<\/jats:sub>\n                    perovskite oxides (0 &lt; x, y, z &lt;1; x+y+z\u22481) for application as oxygen electrodes in Solid Oxide Cells. Following the deposition of a continuous compositional map using thin\u2010film combinatorial pulsed laser deposition, compositional, structural, and performance properties are characterized using six different techniques with mapping capabilities. Random forests effectively model electrochemical performance, consistently identifying Fe\u2010rich oxides as optimal compounds with the lowest area\u2010specific resistance values for oxygen electrodes at 700 \u00b0C. Additionally, the models identify a statistical correlation between oxygen sublattice distortion\u2014derived from spectral analysis of Raman\u2010active modes\u2014and enhanced performance.\n                  <\/jats:p>","DOI":"10.1002\/adma.202407372","type":"journal-article","created":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T05:52:35Z","timestamp":1730785955000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Performance Prediction of High\u2010Entropy Perovskites La\n                    <sub>0.8<\/sub>\n                    Sr\n                    <sub>0.2<\/sub>\n                    Mn\n                    <sub>x<\/sub>\n                    Co\n                    <sub>y<\/sub>\n                    Fe\n                    <sub>z<\/sub>\n                    O\n                    <sub>3<\/sub>\n                    with Automated High\u2010Throughput Characterization of Combinatorial Libraries and 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