GNoME / Materials Discovery Dataset

GNoME / Materials Discovery Dataset is a research-grade ai-discovered crystal dataset focused on AI-assisted inorganic crystal discovery data, predicted structures, and stability annotations for generative models and phase-stability studies. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: GNoME / Materials Discovery Dataset. Materials dataset resource. https://github.com/google-deepmind/materials_discovery

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