most citedKernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning

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physics.flu-dyn2026

Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows

Ramansh Sharma, Matthew Lowery, Houman Owhadi +1

We present a novel property-preserving kernel-based operator learning method for incompressible flows governed by the incompressible Navier--Stokes equations. Traditional numerical…