CD-ROM: Complementary Deep-Reduced Order Model. (arXiv:2202.10746v1 [physics.flu-dyn])

Model order reduction through the POD-Galerkin method can lead to dramatic
gains in terms of computational efficiency in solving physical problems.
However, the applicability of the method to non linear high-dimensional
dynamical systems such as the Navier-Stokes equations has been shown to be
limited, producing inaccurate and sometimes unstable models. This paper
proposes a closure modeling approach for classical POD-Galerkin reduced order
models (ROM). We use multi layer perceptrons (MLP) to learn a continuous in
time closure model through the …

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