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:	N4655
	Name:	nitromethane, propyl(dimethyl)isopropylammonium bis(trifluoromethylsulfonyl)imide
	Description:	nitromethane [PM2iPAm]+[(Tf)2N]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C8H20N.C2F6NO4S2.CH3NO2/c1-6-7-9(4,5)8(2)3;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2(3)4/h8H,6-7H2,1-5H3;;1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
3.294	experimental value
3.322704026823662	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
3.28850792434962	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)