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arXiv Machine Learning By Zhen Zhang, George Em Karniadakis

Well-posedness of neural turbulence closures and tangent dissipation

Read the original on arXiv Machine Learning →

arXiv:2609. 19647v1 Announce Type: cross Abstract: A neural turbulence closure defines a new boundary-value problem, $R(U)=N(U)+F(U)=0$, with a coupled Jacobian $J(U)=N'(U)+F'(U)$, where $N$ is the original mean-flow operator and $F$ the learned closure.

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