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20192022
most citedOn closures for reduced order models A spectrum of first-principle to machine-learned avenues

147 citations · 396 across the 9 of their papers we have counts for

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math.DS2020★ 4 cited

Reduced order modeling of fluid flows: Machine learning, Kolmogorov barrier, closure modeling, and partitioning

Shady Ahmed, Suraj Pawar, Omer San +1

In this paper, we put forth a long short-term memory (LSTM) nudging framework for the enhancement of reduced order models (ROMs) of fluid flows utilizing noisy measurements. We bui…