MaterialsAtlas Dataset

hMOF Database

mofshypothetical-structuresadsorptionscreeningdatasetsmaterials-dataresearch-grade

hMOF Database is a research-grade hypothetical mof dataset focused on large hypothetical MOF libraries for gas storage, separation, adsorption screening, and generative porous-materials benchmarks. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: hMOF Database. Materials dataset resource. https://mof.tech.northwestern.edu/databases

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

TypeDataset
DomainPorous materials database
LicenseSee source
Contributorsmof.tech.northwestern.edu