ODAC23

ODAC23 is a research-grade adsorbent energy / force dataset focused on atomistic direct-air-capture adsorbent structures, energies, and forces for training ML models for sorbent discovery. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: ODAC23. Materials dataset resource. https://fair-chem.github.io/dac/datasets/odac.html

Acknowledgement: Curated by MaterialsAtlas Open Resources from public data portals, official project pages, benchmark suites, repositories, and publication-linked archives.