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Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities

Eslam G. Al-Sakkari, Ahmed Ragab, Hanane Dagdougui, Daria Camilla Boffito and Mouloud Amazouz

Article (2024)

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Additional Information: Groupe de recherche: Canada Research Chair in Engineering Process Intensification and Catalysis (EPIC)
Department: Department of Chemical Engineering
Department of Mathematics and Industrial Engineering
Research Center: Other
PolyPublie URL: https://publications.polymtl.ca/57550/
Journal Title: Science of the Total Environment (vol. 917)
Publisher: Elsevier
DOI: 10.1016/j.scitotenv.2024.170085
Official URL: https://doi.org/10.1016/j.scitotenv.2024.170085
Date Deposited: 28 Feb 2024 14:05
Last Modified: 07 May 2024 11:29
Cite in APA 7: Al-Sakkari, E. G., Ragab, A., Dagdougui, H., Boffito, D. C., & Amazouz, M. (2024). Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities. Science of the Total Environment, 917, 170085 (32 pages). https://doi.org/10.1016/j.scitotenv.2024.170085

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