Pages that link to "Item:Q5162374"
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The following pages link to Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains (Q5162374):
Displaying 19 items.
- A feed-forward neural network for solving Stokes problem (Q645014) (← links)
- Efficient coupled deep neural networks for the time-dependent coupled Stokes-Darcy problems (Q2096255) (← links)
- A deep domain decomposition method based on Fourier features (Q2112697) (← links)
- Structure preservation for the deep neural network multigrid solver (Q2672194) (← links)
- Isogeometric neural networks: a new deep learning approach for solving parameterized partial differential equations (Q2683423) (← links)
- Generalization Error Analysis of Neural Networks with Gradient Based Regularization (Q5045671) (← links)
- VPVnet: A Velocity-Pressure-Vorticity Neural Network Method for the Stokes’ Equations under Reduced Regularity (Q5065192) (← links)
- AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems (Q5099843) (← links)
- A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales (Q5162363) (← links)
- Multi-Scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains (Q5162368) (← links)
- Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions (Q5163229) (← links)
- A Local Deep Learning Method for Solving High Order Partial Differential Equations (Q5864768) (← links)
- Three ways to solve partial differential equations with neural networks — A review (Q6068232) (← links)
- Linearized Learning with Multiscale Deep Neural Networks for Stationary Navier-Stokes Equations with Oscillatory Solutions (Q6069455) (← links)
- Using deep neural networks for detecting spurious oscillations in discontinuous Galerkin solutions of convection-dominated convection-diffusion equations (Q6080848) (← links)
- Subspace decomposition based DNN algorithm for elliptic type multi-scale PDEs (Q6162913) (← links)
- A causality-DeepONet for causal responses of linear dynamical systems (Q6584819) (← links)
- Extremization to fine tune physics informed neural networks for solving boundary value problems (Q6591803) (← links)
- Physics-informed deep learning of rate-and-state fault friction (Q6595877) (← links)
