output
20202026
most citedAssessment of unsteady flow predictions using hybrid deep learning based reduced order models

106 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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physics.flu-dyn2020★ 106 cited

Assessment of unsteady flow predictions using hybrid deep learning based reduced order models

Sandeep Reddy Bukka, Rachit Gupta, Allan Ross Magee +1

In this paper, we present two deep learning-based hybrid data-driven reduced order models for the prediction of unsteady fluid flows. The first model projects the high-fidelity tim…