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Physics-informed data-driven inference of an interpretable equivariant LES model of two-dimensional incompressible fluid turbulence
Restrictive phenomenological assumptions limit the accuracy and generality of subgrid-scale models of fluid turbulence, especially in flows where coherent structures and bidirectional energy transfer play an important dynamical role. This paper introduces a symbolic, physically-informed data-driven
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