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Start Over Degree Department Chemistry Decade 2020-2029 Month July Day 7th

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Machine Learning Quantitative Structure–Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of Hydrocarbons (open access)

Machine Learning Quantitative Structure–Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of Hydrocarbons

This article presents a study with the aim to develop quantitative structure–property relationships (QSPRs) that would allow the understanding of molecular interactions in ionic liquids based on the structure of the cationic moiety.
Date: July 7, 2022
Creator: Toots, Karl Marti; Sild, Sulev; Leis, Jaan; Acree, William E. (William Eugene) & Maran, Uko, 1966-
System: The UNT Digital Library