dc.contributor.author | Wang, Jingwen | |
dc.contributor.author | Song, Zhen | |
dc.contributor.author | Chen, Lifang | |
dc.contributor.author | Xu, Tao | |
dc.contributor.author | Deng, Liyuan | |
dc.contributor.author | Qi, Zhiwen | |
dc.date.accessioned | 2023-02-23T10:05:21Z | |
dc.date.available | 2023-02-23T10:05:21Z | |
dc.date.created | 2021-11-02T11:38:28Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Green Chemical Engineering (GreenChE). 2021, 2 (4), 431-440. | en_US |
dc.identifier.issn | 2096-9147 | |
dc.identifier.uri | https://hdl.handle.net/11250/3053538 | |
dc.language.iso | eng | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Prediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptors | en_US |
dc.title.alternative | Prediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptors | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 431-440 | en_US |
dc.source.volume | 2 | en_US |
dc.source.journal | Green Chemical Engineering (GreenChE) | en_US |
dc.source.issue | 4 | en_US |
dc.identifier.doi | 10.1016/j.gce.2021.08.002 | |
dc.identifier.cristin | 1950551 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |