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: | N542 | |
|---|---|---|
| Name: | diethyl ether, cyanomethyl(dimethyl)isopropylammonium bis(trifluoromethylsulfonyl)imide | |
| Description: | diethyl ether [CNMeM2iPAm]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C7H15N2.C4H10O.C2F6NO4S2/c1-7(2)9(3,4)6-5-8;1-3-5-4-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h7H,6H2,1-4H3;3-4H2,1-2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 1.325 |
experimental value |
| 1.84448827143165 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 1.411609444774325 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |