Pages that link to "Item:Q2137963"
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The following pages link to A neural network multigrid solver for the Navier-Stokes equations (Q2137963):
Displaying 26 items.
- Discretizationnet: a machine-learning based solver for Navier-Stokes equations using finite volume discretization (Q2021855) (← links)
- Error-correcting neural networks for semi-Lagrangian advection in the level-set method (Q2088344) (← links)
- A priori and a posteriori error estimates for the deep Ritz method applied to the Laplace and Stokes problem (Q2095152) (← links)
- NSFnets (Navier-Stokes flow nets): physics-informed neural networks for the incompressible Navier-Stokes equations (Q2127017) (← links)
- Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation (Q2132582) (← links)
- Meta-mgnet: meta multigrid networks for solving parameterized partial differential equations (Q2133752) (← links)
- Solving multiscale steady radiative transfer equation using neural networks with uniform stability (Q2157930) (← links)
- Projection-based and neural-net reduced order model for nonlinear Navier-Stokes equations (Q2245826) (← links)
- Accelerating algebraic multigrid methods via artificial neural networks (Q2679755) (← links)
- Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD (Q2700347) (← links)
- (Q3082783) (← links)
- Neural networks for BEM analysis of steady viscous flows (Q4422586) (← links)
- AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems (Q5099843) (← links)
- Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains (Q5162374) (← links)
- (Q5294793) (← links)
- A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems (Q5880418) (← links)
- Solving the discretised neutron diffusion equations using neural networks (Q6082621) (← links)
- Hierarchical subspace evolution method for super large parallel computing: A linear solver and an eigensolver as examples (Q6092148) (← links)
- Development of three-dimensional rotated lattice Boltzmann flux solver for the simulation of high-speed compressible flows (Q6095916) (← links)
- A conservative hybrid deep learning method for Maxwell-Ampère-Nernst-Planck equations (Q6126572) (← links)
- Connections between numerical algorithms for PDEs and neural networks (Q6156049) (← links)
- Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: discrete divergence operator (Q6175199) (← links)
- A Neural Network Approach for Homogenization of Multiscale Problems (Q6178099) (← links)
- DNN-MG: a hybrid neural network/finite element method with applications to 3D simulations of the Navier-Stokes equations (Q6194150) (← links)
- A neural network multigrid solver for the Navier-Stokes equations (Q6347773) (← links)
- Enhancing physics informed neural networks for solving Navier-Stokes equations (Q6574171) (← links)
