Pages that link to "Item:Q5045670"
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The following pages link to PFNN-2: A Domain Decomposed Penalty-Free Neural Network Method for Solving Partial Differential Equations (Q5045670):
Displaying 8 items.
- A deep domain decomposition method based on Fourier features (Q2112697) (← links)
- Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations (Q2246361) (← links)
- Adaptive deep density approximation for fractional Fokker-Planck equations (Q6087826) (← links)
- PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations (Q6151340) (← links)
- AONN-2: an adjoint-oriented neural network method for PDE-constrained shape optimization (Q6572176) (← links)
- Domain decomposition learning methods for solving elliptic problems (Q6585310) (← links)
- Enhancing training of physics-informed neural networks using domain decomposition-based preconditioning strategies (Q6623675) (← links)
- Efficiently training physics-informed neural networks via anomaly-aware optimization (Q6662394) (← links)
