Published November 26, 2019 | Version v4

PC9 (QCArchive View Formatted)

Authors/Creators

  • 1. MolSSI

Description

Data curated by the QCArchive team, originally sourced from https://figshare.com/articles/PC9_data_zip/9033977.

Small organic molecules with up to 9 heavy atoms sampled from PubChemQC. This dataset is analagous to QM9, but represents greater chemical diversity. Ground state and orbital properties are available at the B3LYP/6-31G* level of theory. 

For more information, see http://qcarchive.molssi.org/apps/ml_datasets.

Files

Files (280.7 MB)

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md5:c7da7cac207b8056cc863772fbc26e1b
83.8 MB Download
md5:d15c77efd5644df4ca510fb9db693999
60.3 MB Download
md5:0efbee9c1ff7edf587f70bbe4b893b65
79.5 MB Download
md5:b70118462530431e577b63e7badc47e6
57.2 MB Download

Additional details

References

  • Nakata, M. & Shimazaki, T. PubChemQC project: A large-scale first-principles electronic structure database for data-driven chemistry. J. Chem. Inf. Model., 2017, 57, 1300-1308.
  • Glavatskikh, M.; Leguy, J.; Hunault, G.; Cauchy, T. & Da Mota, B. Dataset's chemical diversity limits the generalizability of machine learning predictions. J. Cheminformatics, 2019, 11, 69.