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Closed-loop Autonomous Materials Exploration and Optimization 1.0

Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun 11, 5966 (2020). https://doi.org/10.1038/s41467-020 19597-w Code: Closed-loop autonomous materials exploration and optimization. This code is used to control an autonomous materials exploration and optimization platform. It guides subsequent experiments to learn about a material's phase map and target functional properties in a unified framework. Data: CAMEO code is demonstrated on Fe-Ga-Pd composition spread X-ray diffraction data.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2020-08-20 00:00:00
Date Created: N/A
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Data Provided by:
autonomous
Dataset Owner: N/A

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Table representation of structured data
Title Closed-loop Autonomous Materials Exploration and Optimization 1.0
Description Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun 11, 5966 (2020). https://doi.org/10.1038/s41467-020 19597-w Code: Closed-loop autonomous materials exploration and optimization. This code is used to control an autonomous materials exploration and optimization platform. It guides subsequent experiments to learn about a material's phase map and target functional properties in a unified framework. Data: CAMEO code is demonstrated on Fe-Ga-Pd composition spread X-ray diffraction data.
Modified 2020-08-20 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:aaron.kusne@nist.gov
Keywords autonomous , machine learning , phase map , materials optimization
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