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 …

Under investigation in this paper is the cubic–quintic nonlinear Schrödinger equation, which
describes the propagation of optical on resonant-frequency fields in the inhomogeneous …

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 …

This study focuses on investigating the optical soliton solutions for the perturbed nonlinear
Schrödinger equation involving Kerr nonlinearity. It should be noted that the non-integrable …

The current article studies optical solitons solutions for the dimensionless form of the
stochastic resonant nonlinear Schrödinger equation (NLSE) with both spatio-temporal …

We propose a physical information neural network with learning rate decay strategy (LrD-
PINN) to predict the dynamics of symmetric, asymmetric, and antisymmetric solitons of the …

The existence, stability, and propagation dynamics of two-dimensional line defect lattice
solitons (LDLSs) in a photorefractive crystal with focusing saturable nonlinearity under …

In recent years, generative adversarial networks (GAN) has achieved great success in
generating realistic images. However, the instability of GAN and the lower accuracy of …

Via the link between φ p of a (3+ 1)-dimensional variable-coefficient coupled partially
nonlocal nonlinear Schrödinger system (NLSS) and Φ of constant-coefficient NLSS …

Ultrafast nonlinear dynamics plays a crucial role in ultrafast optics, necessitating accurate
solutions to the generalized nonlinear Schrödinger equation (GNLSE) for understanding its …