6 citations · 6 across the 4 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.LG2026
Local and Sparse Kernel Operator Learning for Incompressible Flows: An Operator Lagrange Formulation
Ramansh Sharma, Matthew Lowery, Houman Owhadi +1
We present a local and sparse kernel method for learning the solution operators of incompressible flows. It builds on our earlier property-preserving kernel method, whose global ou…
math.NA2026
A high-order, meshless, Lagrangian--Eulerian RBF-FD method for advection--diffusion--reaction on moving manifolds
Matthew Lowery, Grady B. Wright, Varun Shankar
We present a high-order radial basis function-generated finite difference (RBF-FD) method for partial differential equations on moving manifolds o…
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…