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Mohid Farooqi

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Open access Oct 2025

Physics-informed neural networks for the point defect model: Solving and inverting passive-film growth kinetics

Predicting how passive oxide films grow and break down is central to corrosion science and the long-term integrity of structural alloys, and the point defect model (PDM) is the standard kinetic description: a stiff, coupled system of Nernst–Planck, Poisson, and Butler–Volmer equations on a moving boundary; solving it c...

Mohid Farooqi, Ingmar Bösing, Conrard G. Tetsassi Feugmo · 0 citations

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