Vector-QM24

Vector-QM24 is a research-grade vector property dataset focused on molecular quantum-chemistry dataset with vector and tensor properties for equivariant model benchmarking and molecular property prediction. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: Vector-QM24. Materials dataset resource. https://doi.org/10.5281/zenodo.12668263

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