Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review
Greenhouse gas emissions from human activities pose a significant threat to the ecosystem, causing climate change and ecological disruptions. Ionic liquids (ILs) show promise for gas separation and carbon capture, but predicting gas solubility in ILs is challenging due to limited data and complex th...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2025-03-01
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| Collection: | Results in Engineering |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2590123024020942 |
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