Open access
Oct 2026
Stacking ensemble learning and SHAP analysis for predicting CO2 solubility and guiding ionic liquid design
Abstract Excessive CO2 emissions constitute a primary driver of global climate change, creating an urgent need for efficient CO2 capture technologies. Ionic liquids (ILs) are considered highly promising absorbents. However, their vast chemical space poses significant challenges for experimental screening. In this study...
Si-Qi Yu, Wei-Yan Tong, Peng-Zhi Bei et al.
· Royal Society Open Science · 0 citations