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: | N6464 | |
|---|---|---|
| Name: | naphthalene, n-propyl-n-methylpiperidinium bis(trifluoromethylsulfonyl)imide | |
| Description: | naphthalene [PMPip]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H8.C9H20N.C2F6NO4S2/c1-2-6-10-8-4-3-7-9(10)5-1;1-3-7-10(2)8-5-4-6-9-10;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h1-8H;3-9H2,1-2H3;/q;+1;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.436710840761826 |
experimental value |
| 5.239142427164794 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 5.42689217607848 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |