most citedNon-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling

72 citations · 72 across the 1 of their papers we have counts for

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1 paper

physics.comp-ph2020★ 72 cited

Non-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling

Pierre Jacquier, Azzedine Abdedou, Vincent Delmas +1

Deep Learning research is advancing at a fantastic rate, and there is much to gain from transferring this knowledge to older fields like Computational Fluid Dynamics in practical e…