131 citations · 268 across the 10 of their papers we have counts for
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nlin.PS2022★ 1 cited
Data-driven forward-inverse problems for the variable coefficients Hirota equation using deep learning method
Huijuan Zhou, Juncai Pu, Yong Chen
Data-driven forward-inverse problems for the variable coefficients Hirota (VCH) equation are discussed in this paper. The main idea is to use the improved physics-informed neural n…
nlin.PS2021★ 89 cited
Data-driven vector localized waves and parameters discovery for Manakov system using deep learning approach
Juncai Pu, Yong Chen
An improved physics-informed neural network (IPINN) algorithm with four output functions and four physics constraints, which possesses neuron-wise locally adaptive activation funct…
nlin.PS2021★ 3 cited
Solving localized wave solutions of the derivative nonlinear Schrodinger equation using an improved PINN method
Juncai Pu, Jun Li, Yong Chen
The solving of the derivative nonlinear Schrodinger equation (DNLS) has attracted considerable attention in theoretical analysis and physical applications. Based on the physics-inf…