Pages that link to "Item:Q6160033"
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The following pages link to Deep learning soliton dynamics and complex potentials recognition for 1D and 2D \(\mathcal{PT}\)-symmetric saturable nonlinear Schrödinger equations (Q6160033):
Displaying 10 items.
- Data-driven vector soliton solutions of coupled nonlinear Schrödinger equation using a deep learning algorithm (Q2246919) (← links)
- Deep learning neural networks for the third-order nonlinear Schrödinger equation: bright solitons, breathers, and rogue waves (Q6046358) (← links)
- VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient (Q6069931) (← links)
- Deep learning data-driven multi-soliton dynamics and parameters discovery for the fifth-order Kaup-Kuperschmidt equation (Q6096544) (← links)
- A new method for solving nonlinear partial differential equations based on liquid time-constant networks (Q6130983) (← links)
- Two-stage initial-value iterative physics-informed neural networks for simulating solitary waves of nonlinear wave equations (Q6497269) (← links)
- \(PT\)-symmetric PINN for integrable nonlocal equations: forward and inverse problems (Q6554430) (← links)
- Adaptive sampling physics-informed neural network method for high-order rogue waves and parameters discovery of the \((2+1)\)-dimensional CHKP equation (Q6554449) (← links)
- Darboux transformation-based LPNN generating novel localized wave solutions (Q6584190) (← links)
- Dispersion management and optical soliton engineering in nonuniform inhomogeneous \(\mathcal{PT} \)-symmetric nonlinear media (Q6650097) (← links)
