Ionic
liquids (ILs) have attracted much attention in the past few
years for their distinctive properties. Thermal conductivity plays
an important role in industrial applications. This work presents a
linear model based on the norm-indexes to describe the relationship
between ILs thermal conductivity and their structure as well as temperature
and pressure. A total data set of 475 experimental thermal conductivity
data points under a wide range of temperatures (273.15–355.07K)
and pressures (0.1–20.0 MPa) for five types of ionic liquids
containing ammonium, phosphonium, imidazolium, pyridinium, and pyrrolidinium
were employed to train and test the model. The results revealed that
this proposed method presented a good accuracy with high F of 1540, high R
2 of 0.984, and low AARD
of 1.45%. In addition, the good results of 5-fold cross-validation,
external validation, Y-randomization test, as well
as applicability domain further illustrate the stability and reliability
of this work. Accordingly, this norm-index based model could be adopted
to estimate the thermal conductivity of diversified ionic liquids
at variable temperature and pressure.
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