This advanced sequence explores the integration of Machine Learning with Finite Element Analysis (FEA) to create surrogate models. Students learn to bridge high-fidelity simulations with real-time speed, covering data generation, dimensionality reduction, neural network training, and Physics-Informed Machine Learning (PIML).

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