Machine learning-based ionic liquids design and process simulation for CO2 separation from flue gas

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...

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Bibliographic Details
Main Authors: Kai Wang, Huijin Xu, Chen Yang, Ting Qiu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-06-01
Series:Green Energy & Environment
Subjects:
Ionic liquid
Rational design
CO2 separation
Support vector machine
Process simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2468025720302545

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