A physics-informed neural network approach to the point defect model for electrochemical oxide film growth

Mohid Farooqi, Ingmar Bösing, Conrard G. Tetsassi Feugmo

Physics-informed neural networks (PINNs) offer a novel AI-driven framework for integrating physical laws directly into neural network models, facilitating the solution of complex m…