Pages that link to "Item:Q2670077"
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The following pages link to Accelerating high order discontinuous Galerkin solvers using neural networks: 1D Burgers' equation (Q2670077):
Displaying 7 items.
- Controlling oscillations in high-order discontinuous Galerkin schemes using artificial viscosity tuned by neural networks (Q778268) (← links)
- Using neural networks to accelerate the solution of the Boltzmann equation (Q2132591) (← links)
- \texttt{HORSES3D}: a high-order discontinuous Galerkin solver for flow simulations and multi-physics applications (Q2692480) (← links)
- Using deep neural networks for detecting spurious oscillations in discontinuous Galerkin solutions of convection-dominated convection-diffusion equations (Q6080848) (← links)
- Accelerating high order discontinuous Galerkin solvers using neural networks: 3D compressible Navier-Stokes equations (Q6107091) (← links)
- Learning subgrid-scale models with neural ordinary differential equations (Q6160037) (← links)
- DNN-MG: a hybrid neural network/finite element method with applications to 3D simulations of the Navier-Stokes equations (Q6194150) (← links)