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Review Open access Aug 2026

Artificial Intelligence in the Discovery and Design of Ionic Liquids for Thermal Energy Applications

This review addresses a critical need in the emerging intersection of digital chemistry and material properties by critically evaluating the current capabilities and future prospects of applying machine learning (ML) to ionic liquids (ILs) for thermal energy storage (TES) applications. We examine available data sets...

Pawan Chhipa, Z. Baird, Dinis O. Abranches et al. · 0 citations

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