most citedMemory embedded non-intrusive reduced order modeling of non-ergodic flows

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physics.comp-ph2019

A deep learning enabler for non-intrusive reduced order modeling of fluid flows

S. Pawar, S. M. Rahman, H. Vaddireddy +3

In this paper, we introduce a modular deep neural network (DNN) framework for data-driven reduced order modeling of dynamical systems relevant to fluid flows. We propose various de…