Datasets › OQMD v1.2

OQMD v1.2 (The Open Quantum Materials Database)

Introduced by Takenori Yamamoto in Crystal Graph Neural Networks for Data Mining in Materials Science27 May 2019 archive 2025-07-28

The OQMD is a database of DFT calculated thermodynamic and structural properties of one million materials, created in Chris Wolverton's group at Northwestern University.

The OQMD v1.2 dataset for CGNN is downloadable from this link, which contains 561,888 materials. Its format is described in here. The original data is available at the OQMD website.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Formation Energy OQMD v1.2 CGNN Ensemble MAE 30.5 Crystal Graph Neural Networks for Data Mining in... Tony-Y/cgnn 4 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 3. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Crystal Graph Neural Networks for Data Mining in Materials Science 1 4 27 May 2019 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • OQMD v1.2

1 variant name, as the archive lists them.

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