Pages that link to "Item:Q2148532"
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The following pages link to Neural-PDE: a RNN based neural network for solving time dependent PDEs (Q2148532):
Displaying 12 items.
- PhyCRNet: physics-informed convolutional-recurrent network for solving spatiotemporal PDEs (Q2072500) (← links)
- A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks (Q2122243) (← links)
- Collocation based training of neural ordinary differential equations (Q2236696) (← links)
- Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks (Q5221026) (← links)
- Time-dependent Dirac equation with physics-informed neural networks: computation and properties (Q6043079) (← links)
- Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue (Q6044215) (← links)
- Comparison of neural closure models for discretised PDEs (Q6104834) (← links)
- Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization (Q6137551) (← links)
- Asymptotic-preserving neural networks for multiscale time-dependent linear transport equations (Q6158979) (← links)
- Neural-PDE: A RNN based neural network for solving time dependent PDEs (Q6348697) (← links)
- Multistep asymptotic pre-training strategy based on PINNs for solving steep boundary singular perturbation problems (Q6609750) (← links)
- f-PICNN: a physics-informed convolutional neural network for partial differential equations with space-time domain (Q6614990) (← links)
