matminer: ricci_boltztrap_mp_tabular

matminer: ricci_boltztrap_mp_tabular is a research-grade matminer benchmark dataset focused on tabular transport descriptors and targets for rapid benchmarking of thermoelectric and electronic transport prediction models. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: matminer: ricci_boltztrap_mp_tabular. Materials dataset resource. https://hackingmaterials.lbl.gov/matminer/dataset_summary.html#ricci-boltztrap-mp-tabular

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