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:	N4600
	Name:	acetonitrile, cyanomethyl(dimethyl)isopropylammonium bis(trifluoromethylsulfonyl)imide
	Description:	acetonitrile [CNMeM2iPAm]+[(Tf)2N]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C7H15N2.C2F6NO4S2.C2H3N/c1-7(2)9(3,4)6-5-8;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2-3/h7H,6H2,1-4H3;;1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
3.274	experimental value
2.936957108562733	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
3.248019336998297	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)