ML-optimized adsorption
Integrates machine learning with isotherm models to reveal the role of bioactive compounds in Cu²⁺ adsorption, improving prediction accuracy and enabling more efficient and targeted heavy metal removal strategies.
Haoran, Chen · Zhang, Rui · Shan, Tifeng · Rongbing, Zhou · Zhao, Shichao
Journal of Hazardous Materials 2025
Freundlich model R²=0.9858
pseudo-second-order kinetic model R²=0.9989
CatBoost regression R²=0.9883