The Use of the Principal Component Analysis for the Prediction of Superlattices Hard Perovskites and Inverse Perovskites
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Abstract We present in this work an approach to predict which compounds among perovskites and inverse perovskites with the potential for achieving high hardness and fracture toughness for applications as a thermal barrier coating (TBC). We employ a throughout multivariate technique based on the principal component analysis (PCA). Among the 129 tested perovskites and inverse perovskites, only ~ 10 compounds may exhibit an interesting potential as thermal barrier coating. These results may serve as a map for the design of perovskite-related new multilayer ultra-hard coating materials.
2007 ◽
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pp. 1005-1016
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2019 ◽
Vol 374
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pp. 12-20
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2007 ◽
Vol 74
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pp. 2055-2069
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Vol 8
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pp. 576-582
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pp. 393-394
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pp. 4455-4461
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pp. 693-697
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2021 ◽
Vol 41
(2)
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pp. 1720-1725
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