Álvaro Peña

Scientific Machine Learning for Coating Degradation and Corrosion Prediction: A Critical Review and Thermodynamic Research Perspective

Coating degradation and corrosion prediction are moving from empirical regression toward scientific machine learning (SciML), which embeds governing equations, geometry, and uncertainty into data-driven models. This critical review examines physics-informed neural networks (PINNs), neural operators, phase-field hybrids...