Artificial intelligence-accelerated solvent screening for CO₂ capture in rotating packed beds: Economic impact and decision-support insights

Key Points

• AI-driven solvent screening significantly reduces costs associated with CO₂ capture, enhancing economic viability.
• The analysis identifies multiple solvents suitable for CO₂ capture with varying cost efficiencies, maximizing resource allocation.
• Assessment using data-driven approaches allows for informed decision-support insights, simplifying solvent selection processes.
• This work suggests a shift towards AI in environmental technologies, promoting sustainable practices and cost-effective solutions.