Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. A multicomponent QSPR approach to describe and predict gas-ionic liquid distribution of organic solutes using machine learning. J. Mol. Liq. 2025, 436, 128184.
Compound
| ID: | N6 | |
|---|---|---|
| Name: | methane, 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide | |
| Description: | methane [MEIm]+[Tf2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C6H11N2.C2F6NO4S2.CH4/c1-3-8-5-4-7(2)6-8;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;/h4-6H,3H2,1-2H3;;1H4/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| -0.786 |
experimental value |
| 0.5542926938913166 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR holdout predictions) |
| -0.6850149999999996 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF holdout predictions) |