CoRE MOF 2019

CoRE MOF 2019 is a research-grade mof structure dataset focused on computation-ready experimental metal-organic framework structures cleaned for adsorption, catalysis, and porous-materials machine-learning studies. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: CoRE MOF 2019. Materials dataset resource. https://pubs.acs.org/doi/10.1021/acs.jced.9b00835

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