MaterialsAtlas Dataset

RDB19-Rad

radicalsopen-shellquantum-chemistrybenchmarksdatasetsmaterials-dataresearch-grade

RDB19-Rad is a research-grade radical benchmark dataset focused on open-shell radical quantum-chemistry benchmark data for model validation, transfer learning, and uncertainty analysis. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: RDB19-Rad. Materials dataset resource. https://zenodo.org/search?q=RDB19-Rad%20dataset

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

TypeDataset
DomainQuantum chemistry dataset
LicenseSee source
Contributorszenodo.org