Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films
Author:
Affiliation:
1. NTT Basic Research Laboratories, NTT Corporation, Atsugi, Kanagawa 243-0198, Japan
2. NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto 619-0237, Japan
Publisher
AIP Publishing
Subject
General Engineering,General Materials Science
Link
http://aip.scitation.org/doi/pdf/10.1063/1.5123019
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3. Electrical properties of CaRuO3 and SrRuO3 single crystals
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5. Single-Crystal Epitaxial Thin Films of the Isotropic Metallic Oxides Sr 1– x Ca x RuO 3 (0 ≤ × ≤ 1)
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