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POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations.
Saddam Hijazi
Melina Freitag
Niels Landwehr
Published in:
CoRR (2021)
Keyphrases
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neural network
inverse problems
reduced order
optimization problems
partial differential equations
computational complexity
feature space
kalman filter