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Data-driven machine learning assisted prediction of metal node types in metal-organic frameworks for guiding linker design and targeting inverse C3H8/C3H6 separation

Crossref DOI link: https://doi.org/10.1007/s11426-025-2917-4

Published Online: 2025-10-17

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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