Anthony C. Ozurumba

Machine learning-powered qualitative structure properties relationship models for prediction of corrosion inhibition efficiencies of triazoles

This work aimed to address the challenge of developing holistic theoretical framework that can predict the corrosion inhibition efficiency and evaluate the anti-corrosion potentials of novel materials by integrating machine learning-based Quantitative Structure–Property Relationship (QSPR) models with computational sim...