Data provided by National Institute of Standards and Technology
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:
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Data Provided by:
Dataset Owner:
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| 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:[email protected] |
| Keywords | autonomous , machine learning , phase map , materials optimization |
{
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"title": "Closed-loop Autonomous Materials Exploration and Optimization 1.0",
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