most citedReducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 4 cited

Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework

Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava +2

We propose a method for reducing the spatial discretization error of coarse computational fluid dynamics (CFD) problems by enhancing the quality of low-resolution simulations using…

math.OC2023

Elimination Techniques for Algorithmic Differentiation Revisited

Uwe Naumann, Erik Schneidereit, Simon Maertens +1

All known elimination techniques for (first-order) algorithmic differentiation (AD) rely on Jacobians to be given for a set of relevant elemental functions. Realistically, elementa…