Bayesian optimization with experimental failure for high-throughput materials growth Article Swipe

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Yuki K. Wakabayashi , Takuma Otsuka , Yoshiharu Krockenberger , Hiroshi Sawada , Yoshitaka Taniyasu , Hideki Yamamoto ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1038/s41524-022-00859-8

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Electronics

Materials Science

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Ultimate Tensile Strength

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Bayesian optimization Throughput Molecular beam epitaxy Electronics Materials science Computer science Ultimate tensile strength Bayesian probability Artificial intelligence Parameter space Automation Algorithm Nanotechnology Epitaxy Mechanical engineering Composite material Engineering Mathematics Electrical engineering Layer (electronics) Statistics Telecommunications Wireless

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41524-022-00859-8
PDF: https://www.nature.com/articles/s41524-022-00859-8.pdf
OA Status: gold
Cited By: 41
References: 62
Related Works: 10
OpenAlex ID: https://openalex.org/W4224875166

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DOI: https://doi.org/10.1038/s41524-022-00859-8

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Title: Bayesian optimization with experimental failure for high-throughput materials growth

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-08-23

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Authors: Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu, Hideki Yamamoto

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Landing page: https://doi.org/10.1038/s41524-022-00859-8

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PDF URL: https://www.nature.com/articles/s41524-022-00859-8.pdf

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Concepts: Bayesian optimization, Throughput, Molecular beam epitaxy, Electronics, Materials science, Computer science, Ultimate tensile strength, Bayesian probability, Artificial intelligence, Parameter space, Automation, Algorithm, Nanotechnology, Epitaxy, Mechanical engineering, Composite material, Engineering, Mathematics, Electrical engineering, Layer (electronics), Statistics, Telecommunications, Wireless

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Cited by: 41

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Citations by year (recent): 2025: 18, 2024: 8, 2023: 11, 2022: 4

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