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20222026
most citedAccelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations

22 citations · 25 across the 4 of their papers we have counts for

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cs.LG2026

Localized Operator Learning with Adaptive Partition-of-Unity Mixture-of-Expert Networks

Madison Cooley, Ramansh Sharma, Shandian Zhe +2

Operator learning methods such as DeepONets and FNOs often struggle with PDE families featuring sharp interfaces, heterogeneous coefficients, and localized multiscale structures. W…

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…