Search Results for author: D. M. J. Tax

Found 1 papers, 0 papers with code

Learning solutions of parametric Navier-Stokes with physics-informed neural networks

no code implementations5 Feb 2024 M. Naderibeni, M. J. T. Reinders, L. Wu, D. M. J. Tax

We consider the parameter(s) of interest as inputs of PINNs along with spatio-temporal coordinates, and train PINNs on generated numerical solutions of parametric-PDES for instances of the parameters.

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