The research aims to utilize deep learning techniques to identify new ionic liquids with low melting points.
Applied deep learning algorithms to predict melting points of ionic liquids.
Analyzed chemical properties of various ionic liquid candidates.
Conducted experiments to validate predicted low-melting-point ionic liquids.
Identified several new ionic liquids with melting points below 373 K.
Demonstrated high thermal stability and low volatility in selected ionic liquids.
Provided a framework for rapid discovery of novel ionic liquids.
Abstract
Ionic liquids (ILs) are salts that are liquids at ambient conditions (typically below 373 K) and are known for their many unique properties, including low volatility and high thermal stability....