The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches

In this paper, we incorporate experimental measurements from high-quality databases to construct a machine learning model that is capable of reproducing and predicting the properties of ionic liquids, such as electrical conductivity. Empirical relations traditionally determine the electrical conduct...

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Bibliographic Details
Main Authors: Theodoros E. Karakasidis, Filippos Sofos, Christos Tsonos
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Fluids
Subjects:
Online Access:https://www.mdpi.com/2311-5521/7/10/321