NIST · ИТ · 6d1b447d2feb4e7a177d
Human-in-the-loop for Bayesian autonomous materials phase mapping
Autonomous experimentation achieves user objectives more efficiently than Edisonian studies by combining machine learning and laboratory automation to iteratively select and perform experiments. Integrating knowledge from theory, simulations, literature
NIST · ИТОфициальный источник · 2024-02-07
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"title_en": "Human-in-the-loop for Bayesian autonomous materials phase mapping",
"designation": "",
"series": "",
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"date": "2024-02-07",
"date_original": "February 7, 2024",
"url": "https://www.nist.gov/publications/human-loop-bayesian-autonomous-materials-phase-mapping",
"source": "NIST Publications",
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"authors_en": "Felix Adams, Austin McDannald, Takeuchi Ichiro, Aaron Kusne",
"abstract_excerpt_en": "Autonomous experimentation achieves user objectives more efficiently than Edisonian studies by combining machine learning and laboratory automation to iteratively select and perform experiments. Integrating knowledge from theory, simulations, literature",
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"title_en": "Human-in-the-loop for Bayesian autonomous materials phase mapping",
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"authors_en": "Felix Adams, Austin McDannald, Takeuchi Ichiro, Aaron Kusne",
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