matminer: superconductivity2018

matminer: superconductivity2018 is a research-grade matminer benchmark dataset focused on superconducting materials compositions and critical temperatures for Tc prediction and superconductor discovery benchmarks. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: matminer: superconductivity2018. Materials dataset resource. https://hackingmaterials.lbl.gov/matminer/dataset_summary.html#superconductivity2018

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