Public Data Resource

Closed-loop Autonomous Materials Exploration and Optimization 1.0

Contact: Aaron Gilad Kusne..
Identifier: doi:10.18434/mds2-2480
Version: 1.0... First Released: 2021-09-30 Revised: 2021-09-30
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.
Research Areas
NIST R&D: Information Technology: Data and informaticsMaterials: Materials characterizationMathematics and Statistics: Experiment design
Keywords: autonomousmachine learningphase mapmaterials optimization
These data are public.
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Version: 1.0... First Released: 2021-09-30 Revised: 2021-09-30
Cite this dataset
Aaron Gilad Kusne (2021), Closed-loop Autonomous Materials Exploration and Optimization 1.0, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2480 (Accessed 2025-01-14)
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