Ionic liquid binary mixtures: Machine learning‐assisted modeling, solvent tailoring, process design, and optimization

This work conducts a comprehensive modeling study on the viscosity, density, heat capacity, and surface tension of ionic liquid (IL)‐IL binary mixtures by combining the group contribution (GC) method with three machine learning algorithms: artificial neural network, XGBoost, and LightGBM. A large nu...

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