DL-AMR: Heteroscedastic Residual Learning for Dynamic Adaptive Mesh Refinement in Bluff-Body Wake Flows
GitHub-Zenodo software record (repository snapshot) accompanying the paper of the same name (Journal of Computational Physics, 2026). Contents: source code for the heteroscedastic U-Net (training, evaluation, TorchScript export), the OpenFOAM custom solver amrPimpleFoam with the in-plane refinement library hexRef4, sim...
Jiwon Kang, Minhyeok Oh, Jongmin Son et al.
· Zenodo (CERN European Organi... · 0 citations