What is it about?

Physics-assimilated neural networks (PANNs) are proposed and nonlinear mode decomposition are performed over a NACA 4412 airfoil, which is a good supplement to the POD and DMD analysis.

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Why is it important?

Physics is assimilated into the latent space of the highly nonlinear dynamical system via a neural network and furthermore spatiotemporal decomposed modes are capable of reflecting the underlying dynamics.

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This page is a summary of: Nonlinear mode decomposition via physics-assimilated convolutional autoencoder for unsteady flows over an airfoil, Physics of Fluids, September 2023, American Institute of Physics,
DOI: 10.1063/5.0164250.
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