A5068072433- Advanced Fiber Laser Technologies
- Model Reduction and Neural Networks
- Nonlinear Photonic Systems
- Neural Networks and Applications
- Fluid Dynamics and Turbulent Flows
- Computational Physics and Python Applications
- Nonlinear Waves and Solitons
North China Electric Power University
2023-2024
In the paper, we employ an improved physics-informed neural network (PINN) algorithm to investigate data-driven nonlinear wave solutions nonlocal Davey–Stewartson (DS) I equation with parity-time (PT) symmetry, including line breather, kink-shaped and W-shaped rogue solutions. Both PT symmetry model are introduced into loss function strengthen physical constraint. addition, since DS is a high-dimensional coupled system, this leads increase in number of output results. The also needs be...
A meaningful topic that needs to be explored in the field of nonlinear waves is whether a neural network can reveal phase transition different types and novel dynamical properties. In this paper, physics-informed (PINN) with parameters used explore time-varying dynamics $(2+1)$-dimensional Boussinesq equation describing propagation gravity on surface water. We embed physical into for purpose. Via such algorithm, we find exact boundary distinguishes periodic lump chain transformed wave,...