Machine learning-based ionic liquids design and process simulation for CO2 separation from flue gas
Rational design of ionic liquids (ILs), which is highly dependent on the accuracy of the model used, has always been crucial for CO2 separation from flue gas. In this study, a support vector machine (SVM) model which is a machine learning approach is established, so as to improve the prediction accu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2021-06-01
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| Series: | Green Energy & Environment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468025720302545 |