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Closed-loop Autonomous Materials Exploration and Optimization 1.0

Metadata Updated: July 29, 2022

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1038/s41467-020-19597-w

Dates

Metadata Created Date October 2, 2021
Metadata Updated Date July 29, 2022
Data Update Frequency irregular

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date October 2, 2021
Metadata Updated Date July 29, 2022
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2480
Data First Published 2021-09-30
Language en
Data Last Modified 2020-08-20 00:00:00
Category Information Technology:Data and informatics, Materials:Materials characterization, Mathematics and Statistics:Experiment design
Public Access Level public
Data Update Frequency irregular
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 7ce1e2db-6aa9-48dc-83a2-e0c0af81074b
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2480
License https://www.nist.gov/open/license
Program Code 006:045
Related Documents https://doi.org/10.1038/s41467-020-19597-w
Source Datajson Identifier True
Source Hash 270375cfe26539770d3f3a801458e12c17b3ef54
Source Schema Version 1.1

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