Integrated Experimental-Machine Learning Framework for the Synthesis Optimization and Predictive Modeling of Iron Oxide Nanoparticles in Dye Removal Applications

This repository provides the experimental and augmented dataset, along with Python scripts, used to model the crystal size and specific surface area of iron oxide nanoparticles via RSM and XGBoost, as reported in Integrated Experimental–Machine Learning Framework for the Synthesis Optimization and Predictive Modeling of Iron Oxide Nanoparticles in Dye Removal Applications.