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: | N4457 | |
|---|---|---|
| Name: | methanol, 1-ethyl-3-methylimidazolium thiocyanate | |
| Description: | methanol [MEIm]+[SCN]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C6H11N2.CHNS.CH4O/c1-3-8-5-4-7(2)6-8;2-1-3;1-2/h4-6H,3H2,1-2H3;3H;2H,1H3/q+1;;/p-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.208 |
experimental value |
| 2.351255132535378 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.219214291863911 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |