Elif Acar

Cross-Learning Transport and Thermodynamic Properties of Supercooled Ionic Liquids via Physics-Informed Multitask Neural Networks.

Predicting coupled transport and thermodynamic properties of supercooled ionic liquids (ILs) is critical for low-temperature energy applications, yet sparse data and the absence of low-temperature phenomenological relations make the prediction of these properties challenging. To address this challenge, we develop a phy...