matminer: flla

matminer: flla is a research-grade matminer benchmark dataset focused on feature-labelled alloy data useful for composition-property benchmarking and lightweight materials-informatics exercises. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

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

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