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: | N889 | |
|---|---|---|
| Name: | diethyl ether, 1-butyl-2,3-dimethylimidazolium bis(trifluoromethylsulfonyl)imide | |
| Description: | diethyl ether [BM2Im]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H17N2.C4H10O.C2F6NO4S2/c1-4-5-6-11-8-7-10(3)9(11)2;1-3-5-4-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h7-8H,4-6H2,1-3H3;3-4H2,1-2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 1.604 |
experimental value |
| 1.887868742600374 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 1.621355029973989 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |