Machine Learning Quantitative Structure–Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of Hydrocarbons
Description:
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-
Item Type:
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Partner:
UNT College of Science