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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

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Non-Intrusive Inference Reduced Order Model for Fluids Using Deep Multistep Neural Network

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Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks

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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

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