Owing to their compactness, robustness, low cost, high stability, and diffraction-limited beam
quality, mode-locked fiber lasers play an indispensable role in micro/nanomanufacturing …

Using the extended physics-informed neural network with twin subnets to study the coupled
mixed derivative nonlinear Schrödinger equation (NLSE), seven types of vector solitons …

To enhance the precision and efficiency of result prediction, we proposed a parallel hard-
constraint physics-informed neural networks (phPINN) by combining the parallel fully …

A nonlinear Schrödinger equation with the combined effects of variable nonlinearity and
generalized external potentials is investigated. Three soliton solutions are generated by …

We numerically investigate the propagation dynamics of Airy pulse in dispersive and
nonlinear medium with time-dependent external optical potential. These time-dependent …

Based on the variable-coefficient Lugiato-Lefever equation, nonlinear dynamics of rogue
waves in whispering gallery mode optical resonators are studied. By means of the analytical …

Because it is used in communication and information technology, the propagation of pulses
in optical fibers has become a significant research subject in recent years. Mathematical …

Abstract he modified physics-informed neural network method with the learning rate decay is
used to study two types of non-integrable nonlinear Schrödinger equations with competing …

Spatiotemporal mode-locking in multimode fiber lasers is intriguing for the complex
nonlinear dynamics and the increase of theoretical energy limit. In this paper, we enrich …

A quasi-residual physics-informed neural network (QR_PINN) with efficient residual-like
blocks, was investigated based on classical physics-informed neural network to solve …