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dc.contributor.authorWang, Jingwen
dc.contributor.authorSong, Zhen
dc.contributor.authorChen, Lifang
dc.contributor.authorXu, Tao
dc.contributor.authorDeng, Liyuan
dc.contributor.authorQi, Zhiwen
dc.date.accessioned2023-02-23T10:05:21Z
dc.date.available2023-02-23T10:05:21Z
dc.date.created2021-11-02T11:38:28Z
dc.date.issued2021
dc.identifier.citationGreen Chemical Engineering (GreenChE). 2021, 2 (4), 431-440.en_US
dc.identifier.issn2096-9147
dc.identifier.urihttps://hdl.handle.net/11250/3053538
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titlePrediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptorsen_US
dc.title.alternativePrediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptorsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber431-440en_US
dc.source.volume2en_US
dc.source.journalGreen Chemical Engineering (GreenChE)en_US
dc.source.issue4en_US
dc.identifier.doi10.1016/j.gce.2021.08.002
dc.identifier.cristin1950551
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal