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What is Corrosion Inhibition of Mild Steel Using ANN about?

This study investigates the use of Artificial Neural Networks (ANNs) to predict the corrosion inhibition efficiencies of ten sulfur-containing compounds on mild steel in hydrochloric acid solutions. The research highlights the complexity of corrosion processes and the inadequacy of classical statistical methods, proposing that ANNs can provide more accurate predictions based on quantum chemical descriptors. The findings suggest that ANNs are effective in modeling corrosion inhibition, offering a promising a

Author

macho Amar

Language

EN