148 citations · 289 across the 7 of their papers we have counts for
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nlin.PS2020★ 148 cited
Data-driven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning
Li Wang, Zhenya Yan
The physics-informed neural networks (PINNs) can be used to deep learn the nonlinear partial differential equations and other types of physical models. In this paper, we use the mu…
nlin.PS2020
Rogue wave formation and interactions in the defocusing nonlinear Schrödinger equation with external potentials
Li Wang, Zhenya Yan
The defocusing nonlinear Schrödinger (NLS) equation has no the modulational instability, and was not found to possess the rogue wave (RW) phenomenon up to now. In this paper, we fi…