Fluid Dynamics

Super-resolution of turbulent reacting flows on complex meshes using graph neural networks
State-of-the-art deep learning models have been extensively utilized to reconstruct small-scale structures from coarse-grained data in …
Cite DOI URL
Modeling subgrid scale production rates on complex meshes using graph neural networks
Large-eddy simulations (LES) require closures for filtered production rates because the resolved fields do not contain all correlations …
Cite DOI URL