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: | N1992 | |
|---|---|---|
| Name: | tetrachloromethane, hexyl(dimethyl)isopropylammonium bis(trifluoromethylsulfonyl)imide | |
| Description: | tetrachloromethane [HM2iPAm]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C11H26N.C2F6NO4S2.CCl4/c1-6-7-8-9-10-12(4,5)11(2)3;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;2-1(3,4)5/h11H,6-10H2,1-5H3;;/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.243 |
experimental value |
| 2.485836774340548 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.238958794901892 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |