Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

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<jats:title>Abstract</jats:title><jats:p>Bayesian optimization (BO) has been leveraged for guiding autonomous and high-throughput experiments in materials science. However, few have evaluated the efficiency of BO across a broad range of experimental materials domains. In this work,...

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Bibliographic Details
Main Authors: Liang, Qiaohao, Gongora, Aldair E, Ren, Zekun, Tiihonen, Armi, Liu, Zhe, Sun, Shijing, Deneault, James R, Bash, Daniil, Mekki-Berrada, Flore, Khan, Saif A, Hippalgaonkar, Kedar, Maruyama, Benji, Brown, Keith A, Fisher III, John, Buonassisi, Tonio
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/138478

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https://hdl.handle.net/1721.1/138478

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