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:	N5463
	Name:	1,4-dioxane, 1-butyl-3-methylimidazolium 4,​5-​dicyano-​2-​(trifluoromethyl)​imidazolide
	Description:	1,4-dioxane [BMIm]+[TDI]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C8H15N2.C6F3N4.C4H8O2/c1-3-4-5-10-7-6-9(2)8-10;7-6(8,9)5-12-3(1-10)4(2-11)13-5;1-2-6-4-3-5-1/h6-8H,3-5H2,1-2H3;;1-4H2/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
3.631	experimental value
3.198972421719123	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
3.591857568724954	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)