Pages that link to "Item:Q2682670"
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The following pages link to Physics-informed neural networks combined with polynomial interpolation to solve nonlinear partial differential equations (Q2682670):
Displaying 6 items.
- A two-stage physics-informed neural network method based on conserved quantities and applications in localized wave solutions (Q2135816) (← links)
- RPINNs: rectified-physics informed neural networks for solving stationary partial differential equations (Q2166581) (← links)
- Long-time integration of parametric evolution equations with physics-informed DeepONets (Q2683074) (← links)
- Automatic boundary fitting framework of boundary dependent physics-informed neural network solving partial differential equation with complex boundary conditions (Q6171169) (← links)
- TDOR-MPINNs: multi-output physics-informed neural networks based on time differential order reduction for solving coupled Klein-Gordon-Zakharov systems (Q6568897) (← links)
- Adaptive sampling points based multi-scale residual network for solving partial differential equations (Q6585372) (← links)
