62 citations · 84 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 22 cited
Accelerating high order discontinuous Galerkin solvers using neural networks: 3D compressible Navier-Stokes equations
Fernando Manrique de Lara, Esteban Ferrer
We propose to accelerate a high order discontinuous Galerkin solver using neural networks. We include a corrective forcing to a low polynomial order simulation to enhance its accur…
math.NA2022★ 62 cited
HORSES3D: a high-order discontinuous Galerkin solver for flow simulations and multi-physics applications
E. Ferrer, G. Rubio, G. Ntoukas +10
We present the latest developments of our High-Order Spectral Element Solver (HORSES3D), an open source high-order discontinuous Galerkin framework, capable of solving a variety of…