Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models

18 Sep 2019Romit MaulikVishwas RaoSandeep MadireddyBethany LuschPrasanna Balaprakash

Rapid simulations of advection-dominated problems are vital for multiple engineering and geophysical applications. In this paper, we present a long short-term memory neural network to approximate the nonlinear component of the reduced-order model (ROM) of an advection-dominated partial differential equation... (read more)

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