Experimental and ALO-optimized machine learning interpretable models for pharmaceutical adsorption onto raw bentonite

Puntos clave

• The optimized model significantly improves pharmaceutical adsorption on raw bentonite materials.
• Adsorption rates increased to 87%, showcasing the model's effectiveness in predicting outcomes.
• Experimental analysis with machine learning techniques assessed various model performances on adsorption data.
• These findings highlight the potential for using interpretable machine learning models in material science applications.