University of Arizona 3 credits Materials Science & Engr
The course will familiarize students with the emerging ideas of integrating physics with machine learning for applications in engineering. The topics will include (i) Bayesian modeling and uncertainty quantification with physics-based theoretical models and data; (ii) integrating machine learning with physics-based numerical models and simulations, (iii) physics-informed neural networks.
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