Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods. - Paola F. Antonietti; Enrico Manuzzi (CoRR, 2021)

Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods. - Paola F. Anotnietti; Franco Dassi; Enrico Manuzzi (CoRR, 2022)

Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods. - Paola F. Antonietti; Franco Dassi; Enrico Manuzzi (J. Comput. Phys., 2022)

Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinuous Galerkin and Virtual Element methods. - Paola F. Antonietti; Enrico Manuzzi (J. Comput. Phys., 2022)

Agglomeration of polygonal grids using graph neural networks with applications to multigrid solvers. - Paola F. Antonietti; Nicola Farenga; Enrico Manuzzi; Gabriele Martinelli; Luca Saverio (Comput. Math. Appl., 2024)