Machine‐learning‐assisted systematic screening of non‐ionic deep eutectic solvents for CO 2 capture
Machine learning (ML) offers a promising approach for predicting CO 2 solubility, yet its application to the systematic screening of non‐ionic deep eutectic solvents (DESs) remains limited. Herein, a ML‐assisted framework integrating COSMO‐RS‐derived molecular descriptors, theoretical screening, and experimental...