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: | N3092 | |
|---|---|---|
| Name: | tridecane, 1-(3-cyanopropyl)-3-methylimidazolium dicyanamide | |
| Description: | tridecane [CNPrMIm]+[N(CN)2]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C13H28.C8H12N3.C2N3/c1-3-5-7-9-11-13-12-10-8-6-4-2;1-10-6-7-11(8-10)5-3-2-4-9;3-1-5-2-4/h3-13H2,1-2H3;6-8H,2-3,5H2,1H3;/q;+1;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.728682441723965 |
experimental value |
| 3.437232289189744 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.798868938695717 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |