MaterialsAtlas Dataset

OpenDAC 2025

direct-air-captureadsorbentsfair-chembenchmarksdatasetsmaterials-dataresearch-grade
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OpenDAC 2025 is a research-grade adsorbent benchmark dataset focused on newer FAIR-Chem direct-air-capture data resources for adsorbent discovery, active learning, and atomistic ML model evaluation. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: OpenDAC 2025. Materials dataset resource. https://fair-chem.github.io/

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

TypeDataset
DomainDirect-air-capture dataset
LicenseSee source
Contributorsfair-chem.github.io