Reported materialIdentity or context cautions

ML-predicted conductive CoREMOF candidate set

This group combines only harmless case, dash and spacing variants of the reported identity. It does not assert a broader chemical equivalence without source review.

1primary papers
1material records
1linked samples
2linked measurements
23linked results
2025–2025publication span

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Primary papers

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1 papers

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Paper and reported nameFormula and componentsStructure contextSource
ML-predicted conductive CoREMOF candidate set2025 · Discovery of Dual Ion-Electron Conductivity of Metal-Organic Frameworks via Machine Learning-Guided ExperimentationvariousPredominantly Cu among predicted conductive candidates; other motifs include Mn, Re, W, Cd, Co and Zn · Predicted motifs include cyanides, pyrazoles, amines, benzene, pyridyls, pyrimidines and azidesunknown · Model SystemComputational screening set of 60 CoREMOF structures classified as conductive by ensemble machine-learning models.S2-S6 · Tables S1-S3 · Tables S1-S3