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Machine Learning based refinement strategies for polyhedral grids with
  applications to Virtual Element and polyhedral Discontinuous Galerkin methods
v1v2 (latest)

Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods

25 February 2022
Paola F. Anotnietti
F. Dassi
E. Manuzzi
ArXiv (abs)PDFHTML

Papers citing "Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods"

2 / 2 papers shown
Title
A Deep Learning algorithm to accelerate Algebraic Multigrid methods in
  Finite Element solvers of 3D elliptic PDEs
A Deep Learning algorithm to accelerate Algebraic Multigrid methods in Finite Element solvers of 3D elliptic PDEs
Matteo Caldana
P. Antonietti
Luca Dede'
55
11
0
21 Apr 2023
Agglomeration of Polygonal Grids using Graph Neural Networks with
  applications to Multigrid solvers
Agglomeration of Polygonal Grids using Graph Neural Networks with applications to Multigrid solvers
P. Antonietti
N. Farenga
E. Manuzzi
G. Martinelli
L. Saverio
AI4CE
54
22
0
31 Oct 2022
1