Published February 2, 2021
| Version 1.0
Dataset
Open
Optical absorption of metal oxides and results of machine learning predictions
Description
CSV files that collectively contain optical absorption data from metal oxides with different cation elements compositions. The optical properties for each metal oxide composition are the 10-dimensional unitless absorption coefficient where the 10 dimensions correspond to equally-spaced ranges of photon energy spanning 1.39 eV to 3.11 eV. These data also include test-train splits for benchmarking machine learning models that predict the optical absorption, along with results obtained to-date with various machine learning models. For each test-train split, data are normalized to 0 mean, unit variance.
Files
results_69ternaries.csv
Files
(88.7 MB)
Name | Size | Actions |
---|---|---|
md5:eb589181111a360fbf099a08444e73ed
|
10.3 MB | Preview Download |
md5:260163fca7e387d33093693e93139ab2
|
43.1 MB | Preview Download |
md5:20bd5a2c8acd3cb7d67772e68d293d94
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34.5 MB | Preview Download |
md5:4d21b481dbc6874615c83d5cea2b0b58
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1.8 kB | Preview Download |
md5:b9f3aba0fe35415bd3dcc26c8418c7ce
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791.5 kB | Preview Download |
Additional details
- CALTECHDATA_ID
- 1878
- Toyota Research Institute
- :unav DE-SC0020383
- U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences
- :unav DE-SC0004993
- U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences