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.