Machine Learning–Driven Discovery of Sustainable Ionic Liquids for CO2 Capture from Large Chemical Spaces
Ionic liquids (ILs) represent one of the most promising and versatile solvent families for CO2 capture due to their structural tunability and low volatility. However, the sheer scale and complexity of the IL chemical design space make the discovery of high-performance candidates extraordinarily challenging. In this wor...