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Applied Energy

Article . 2025 . Peer-reviewed

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Prediction of CO2 storage efficiency and its uncertainty using deep-convolutional GANs and pore network modelling

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2025Publisher:Elsevier BVJournal:Applied Energy, volume 381, page 125,142 (issn: 0306-2619,

Authors: Yi-Fan Zhang; Ming-Liang Qu; Jin-Ping Yang; Sajjad Foroughi; Ben Niu; Zi-Tao Yu; Xiang Gao; +2 Authors

doi: 10.1016/j.apenergy.2024.125142

Prediction of CO2 storage efficiency and its uncertainty using deep-convolutional GANs and pore network modelling

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