Published February 5, 2020
| Version 1.0
Dataset
Open
OER catalyst data for active learning benchmarking study
Description
Collection of catalyst activity data for 4 sets of compositions. The py3 dictionary .pck is indexed first by the plate_id (identifier for the dataset) and then keys such as "comp" that provides the metals composition for each catalyst and "fom" that provides the catalyst figure of merit (overpotential at 3 mA/cm2) for each catalyst. Example use of dataset in https://github.com/SantoshSuram-TRI/ACE-I
Files
Files
(764.5 kB)
Name | Size | Actions |
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md5:f84665fd51185cce686e911fbd3bca53
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764.5 kB | Download |
Other
Related Publication: Benchmarking the acceleration of materials discovery by sequential learning https://doi.org/10.1039/C9SC05999G eng
Additional details
- CALTECHDATA_ID
- 1345