Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study
Methyldiethanolamine (MDEA) is a widely used solvent in carbon capture processes owing to its high absorption capacity. However, there is a lack of comprehensive predictive tools for estimating CO2 solubility in MDEA-based solution. To fulfil this research gap, in the current study, 2969 experimenta...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2025-06-01
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| Col·lecció: | Results in Engineering |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2590123025015130 |
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