Published February 2, 2021 | Version 1.0
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Optical absorption of metal oxides and results of machine learning predictions

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Cornell University

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
md5:eb589181111a360fbf099a08444e73ed
10.3 MB Preview Download
md5:260163fca7e387d33093693e93139ab2
43.1 MB Preview Download
md5:20bd5a2c8acd3cb7d67772e68d293d94
34.5 MB Preview Download
md5:4d21b481dbc6874615c83d5cea2b0b58
1.8 kB Preview Download
md5:b9f3aba0fe35415bd3dcc26c8418c7ce
791.5 kB Preview Download

Additional details

Created:
September 8, 2022
Modified:
November 18, 2022