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RESEARCH PAPER · Environmental Science and Pollution Research · 2024

Leveraging experimental and computational tools for advancing carbon capture adsorbents research

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Leveraging experimental and computational tools for advancing carbon capture adsorbents researchOriginalApplication of machine learning in adsorption energy storage using metal organic frameworks: A review17Ab initio insights into the CO 2 adsorption mechanisms in hydrated silica nanopores7A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials85

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  1. Application of machine learning in adsorption energy storage using metal organic frameworks: A review

    Journal of Energy Storage · 2025-01-13

    Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, Bilainu Obozokhai Oboirien

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  2. Ab initio insights into the CO 2 adsorption mechanisms in hydrated silica nanopores

    Chemical Engineering Science · 2025-04-28

    Jihong Shi, Tao Zhang, Shuyu Sun, Liang Gong

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  3. A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials

    Materials Science and Engineering R Reports · 2025-05-02

    Chuang Wang, Xingxing Cheng, Kai Luo, K. Nandakumar, Zhiqiang Wang, Meng Ni, Xiaotao Tony Bi, Jiansheng Zhang, Chunbo Wang

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