Liquid amine-based CO2 capture: A review of absorbent systems innovation, multi-scenario applications, and machine learning-assisted optimization | Synapse
March 3, 2026
Liquid amine-based CO2 capture: A review of absorbent systems innovation, multi-scenario applications, and machine learning-assisted optimization
Key Points
CO2 capture innovations are essential for reducing greenhouse gas emissions, supporting climate change mitigation efforts.
Machine learning techniques improve the efficiency and effectiveness of absorbent systems in various applications.
Assessment across multiple scenarios reveals diverse applications of liquid amine-based CO2 capture methods.
Highlights need for collaboration among technology developers and researchers to optimize current systems.