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: | N6176 | |
|---|---|---|
| Name: | 1,2-dichlorobenzene, n-propyl-n-methylpiperidinium bis(trifluoromethylsulfonyl)imide | |
| Description: | 1,2-dichlorobenzene [PMPip]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20N.C6H4Cl2.C2F6NO4S2/c1-3-7-10(2)8-5-4-6-9-10;7-5-3-1-2-4-6(5)8;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-9H2,1-2H3;1-4H;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 4.239842515845324 |
experimental value |
| 4.148127806472734 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR holdout predictions) |
| 4.265670078211524 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF holdout predictions) |