Modification of metals and ligands in two-dimensional conjugated metal-organic frameworks for CO2 electroreduction: A combined density functional theory and machine learning study

Xing, Guanru; Liu, Shize; Sun, Guang-Yan; Liu, Jing-yao

doi:10.1016/j.jcis.2024.08.069

Journal of Colloid and Interface Science

2025

DOI: 10.1016/j.jcis.2024.08.069

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Modification of metals and ligands in two-dimensional conjugated metal-organic frameworks for CO2 electroreduction: A combined density functional theory and machine learning study

Guanru Xing,

Shize Liu,

Guang-Yan Sun

et al.

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Modification of metals and ligands in two-dimensional conjugated metal-organic frameworks for CO2 electroreduction: A combined density functional theory and machine learning study

Cited by 2 publications

References 61 publications

Enhanced catalytic activity of i-MXenes for CO2 reduction reaction by ordered metal atomic vacancies: A DFT study

Enhanced catalytic activity of i-MXenes for CO2 reduction reaction by ordered metal atomic vacancies: A DFT study

Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications

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