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. Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods. J. Comput. Physics, 469:111531, 2022. [doi]

@article{AntoniettiDM22,
  title = {Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods},
  author = {Paola F. Antonietti and Franco Dassi and Enrico Manuzzi},
  year = {2022},
  doi = {10.1016/j.jcp.2022.111531},
  url = {https://doi.org/10.1016/j.jcp.2022.111531},
  researchr = {https://researchr.org/publication/AntoniettiDM22},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {469},
  pages = {111531},
}