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: | N6476 | |
|---|---|---|
| Name: | naphthalene, n-butyl-n-methylpiperidinium bis(trifluoromethylsulfonyl)imide | |
| Description: | naphthalene [BMPip]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H22N.C10H8.C2F6NO4S2/c1-3-4-8-11(2)9-6-5-7-10-11;1-2-6-10-8-4-3-7-9(10)5-1;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-10H2,1-2H3;1-8H;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.467052382524749 |
experimental value |
| 5.261335348047945 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR holdout predictions) |
| 5.457580900770346 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF holdout predictions) |