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20162022
most citedData-driven learning of robust nonlocal physics from high-fidelity synthetic data

73 citations · 330 across the 23 of their papers we have counts for

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math.NA2016★ 1 cited

A compatible high-order meshless method for the Stokes equations with applications to suspension flows

Nathaniel Trask, Martin Maxey, Xiaozhe Hu

A stable numerical solution of the steady Stokes problem requires compatibility between the choice of velocity and pressure approximation that has traditionally proven problematic…

math.NA2016

A high-order staggered meshless method for elliptic problems

Nathaniel Trask, Mauro Perego, Pavel Bochev

We present a new meshless method for scalar diffusion equations which is motivated by their compatible discretizations on primal-dual grids. Unlike the latter though, our approach…