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physics.flu-dyn2021
Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow
Varun Shankar, Gavin D. Portwood, Arvind T. Mohan +6
In fluid physics, data-driven models to enhance or accelerate solution methods are becoming increasingly popular for many application domains, such as alternatives to turbulence cl…
physics.flu-dyn2021★ 6 cited
Learning Stable Galerkin Models of Turbulence with Differentiable Programming
Arvind T. Mohan, Kaushik Nagarajan, Daniel Livescu
Turbulent flow control has numerous applications and building reduced-order models (ROMs) of the flow and the associated feedback control laws is extremely challenging. Despite the…