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Author

Chang Liu

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Oct 2026

Hierarchical Descriptor-Driven Machine Learning Reveals the Structure–Performance Landscape of Hydrogen-Bonded Organic Frameworks for CO 2 /N 2 Separation

Hydrogen-bonded organic frameworks (HOFs) are emerging as promising adsorbents for postcombustion CO2 capture owing to their mild self-assembly, solution processability, and facile regeneration, yet the structural and chemical factors governing their separation performance remain poorly resolved. Here, we report an i...

Lei Wang, Yong Qiu, Chang Liu et al. · 0 citations

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