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A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
We also demonstrate that this error is significantly affected by the time step size and the Jacobian which play a role in amplifying the initial one-step error made by using the closure.
Differentiable Turbulence: Closure as a partial differential equation constrained optimization
Deep learning is increasingly becoming a promising pathway to improving the accuracy of sub-grid scale (SGS) turbulence closure models for large eddy simulations (LES).
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