Database on high-entropy perovskites La_0.8Sr_0.2Mn_xCo_yFe_zO_3±𝞭

This site includes both experimental and simulated data on La_0.8Sr_0.2Mn_xCo_yFe_zO_3±𝞭 perovskite oxides (0 < x, y, z < 1; x+y+z ≈ 1). The experimental data was measured with the following techniques: X-ray fluorescence and diffraction, Raman spectroscopy, ellipsometry, electrochemical impedance spectroscopy, and isotope exchange depth profiling coupled to secondary ion mass spectrometry. All measurements were performed on a compositional map prepared by combinatorial pulsed laser deposition. The simulated data is predicted from the Mn, Fe, and Co compositions using a random forest model.

More information on the methodology can be found in the publication Performance prediction of high-entropy perovskites La_0.8Sr_0.2Mn_xCo_yFe_zO_3±𝞭 with automated high-throughput characterization of combinatorial libraries and machine learning, authored by Carlota Bozal-Ginesta, Juande Sirvent, Giulio Cordaro, Sarah Fearn, Sergio Pablo-García, Francesco Chiabrera, Changhyeok Choi, Lisa Laa, Marc Núñez, Andrea Cavallaro, Fjorelo Buzi, Ainara Aguadero, Guilhem Dezanneau, John Kilner, Alex Morata, Federico Baiutti, Alán Aspuru-Guzik, and Albert Tarancón.

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