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Generalizable turbulence closures across bluff-body shapes by PINN-based solver-agnostic training
Data-driven turbulence closures are commonly calibrated by embedding a CFD solver within an inverse procedure that requires a converged flow solution at every optimization iteration, which is fragile and costly. We instead formulate closure identification as a PDE-constrained, data-driven inverse pr
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