Machine learning boosted Design of Ionic Liquid-based Deep Eutectic Solvents for CO2 Capture

Key Points

• To explore the role of machine learning in designing ionic liquid-based deep eutectic solvents for effective CO2 capture.
• Application of machine learning techniques to optimize solvent design
• Evaluation of deep eutectic solvents based on ionic liquids
• Analysis of CO2 capture efficiency in laboratory conditions.
• Machine learning identified improved formulations for deep eutectic solvents
• Enhanced CO2 capture performance compared to traditional methods
• Demonstrated scalability and sustainability benefits of these solvents.