discontinuous galerkin 2high-order methods 2gpu acceleration 1gpu computing 1large-eddy simulation 1large-scale simulation 1openacc 1subgrid-scale modeling 1
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physics.flu-dyn2026
Can Explicit Subgrid Models Enhance Implicit LES Simulations? A Very High-Order Solver Perspective
Gonzalo Rubio, Gerasimos Ntoukas, Miguel Chávez-Módena +5
The paper studies how explicit Vreman subgrid‑scale models interact with the inherent numerical dissipation of very high‑order discontinuous Galerkin methods for turbulent flow sim…
physics.flu-dyn2026
G-PINNs: Gaussian-based spatially weighted formulation for PINNs: 1D low-viscous Burgers
Kheir-eddine Otmani, Abdelhalim Azzouz, Nourelhouda Groun +1
We introduce a Gaussian-based spatially weighted loss framework (G-PINNs) for physics-informed neural networks (PINNs) to improve the resolution of sharp discontinuities and shock…