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: | N2495 | |
|---|---|---|
| Name: | methanol, n-cyclohexylmethylpyridinium bis(trifluoromethylsulfonyl)imide | |
| Description: | methanol [ChxPyr]+[Tf2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C12H18N.C2F6NO4S2.CH4O/c1-3-7-12(8-4-1)11-13-9-5-2-6-10-13;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2/h2,5-6,9-10,12H,1,3-4,7-8,11H2;;2H,1H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.492 |
experimental value |
| 2.773904929040385 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.437465136275813 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |