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: | N3899 | |
|---|---|---|
| Name: | acetonitrile, octyl(diethyl)ammonium bis(trifluoromethylsulfonyl)imide | |
| Description: | acetonitrile [OE3Am]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C14H32N.C2F6NO4S2.C2H3N/c1-5-9-10-11-12-13-14-15(6-2,7-3)8-4;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2-3/h5-14H2,1-4H3;;1H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.006 |
experimental value |
| 3.170282261082315 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.015715825693499 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |