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  Prediction of CO2 solubility in ionic liquids using machine learning methods

Song, Z., Shi, H., Zhang, X., & Zhou, T. (2020). Prediction of CO2 solubility in ionic liquids using machine learning methods. Chemical Engineering Science, 223: 115752. doi:10.1016/j.ces.2020.115752.

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 Creators:
Song, Zhen1, Author
Shi, Huaiwei2, Author
Zhang, Xiang3, Author
Zhou, Teng2, Author              
Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
2Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
3Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, ou_persistent22              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.ces.2020.115752
Other: data_escidoc:3266421
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Title: Chemical Engineering Science
Source Genre: Journal
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: 223 Sequence Number: 115752 Start / End Page: - Identifier: ISSN: 00092509