The Use of the Principal Component Analysis for the Prediction of Superlattices Hard Perovskites and Inverse Perovskites

Autor:	Boubchir Mohamed Abdeldjalil, H. Aourag, Rachid Boubchir
Rok vydání:	2021
Předmět:	Materials science Condensed matter physics Superlattice Principal component analysis Inverse
DOI:	10.21203/rs.3.rs-666108/v1
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c6be3e773cf25dd5e5ab965649e867d8 https://doi.org/10.21203/rs.3.rs-666108/v1 Zobrazit plný text záznamu