Machine Learning-Assisted High-Throughput Screening of Covalent Organic Frameworks for Propane/Propylene Adsorption-Separation

Huan Li; Junjie Leng; Cailong Zhou; Hao Wu; Lichun Dong; Zemin Feng

doi:10.1021/acs.iecr.5c02487

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Machine Learning-Assisted High-Throughput Screening of Covalent Organic Frameworks for Propane/Propylene Adsorption-Separation

Huan Li Junjie Leng Cailong Zhou Hao Wu Lichun Dong Zemin Feng

Year: 2025 Journal: Industrial & Engineering Chemistry Research Vol: 64 (37)Pages: 18412-18426 Publisher: American Chemical Society

DOI: 10.1021/acs.iecr.5c02487

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Keywords:

Propane Covalent bond Adsorption Throughput High-throughput screening Separation (statistics) Chemistry Chemical engineering Metal-organic framework Organic chemistry Computer science Telecommunications Machine learning

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Covalent Organic Framework Applications

Physical Sciences → Materials Science → Materials Chemistry

Metal-Organic Frameworks: Synthesis and Applications

Physical Sciences → Chemistry → Inorganic Chemistry

Ionic liquids properties and applications

Physical Sciences → Chemical Engineering → Catalysis

Machine Learning-Assisted High-Throughput Screening of Covalent Organic Frameworks for Propane/Propylene Adsorption-Separation

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