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20192026
most citedA neural network multigrid solver for the Navier-Stokes equations

49 citations · 104 across the 12 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

math.NA2020★ 10 cited

Structure Preservation for the Deep Neural Network Multigrid Solver

Nils Margenberg, Christian Lessig, Thomas Richter

The simulation of partial differential equations is a central subject of numerical analysis and an indispensable tool in science, engineering and related fields. Existing approache…

physics.comp-ph2020★ 49 cited

A neural network multigrid solver for the Navier-Stokes equations

Nils Margenberg, Dirk Hartmann, Christian Lessig +1

We present the deep neural network multigrid solver (DNN-MG) that we develop for the instationary Navier-Stokes equations. DNN-MG improves computational efficiency using a judiciou…