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: | N6220 | |
|---|---|---|
| Name: | alpha-methylstyrene, 1-hexyl-3-methylimidazolium tetracyanoborate | |
| Description: | alpha-methylstyrene [MHIm]+[B(CN)4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H19N2.C9H10.C4BN4/c1-3-4-5-6-7-12-9-8-11(2)10-12;1-8(2)9-6-4-3-5-7-9;6-1-5(2-7,3-8)4-9/h8-10H,3-7H2,1-2H3;3-7H,1H2,2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 4.358 |
experimental value |
| 4.046780019244144 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 4.366248393560349 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |