activity
20132022
most citedPredicting the dynamic process and model parameters of the vector optical solitons in birefringent fibers via the modified PINN

86 citations · 272 across the 7 of their papers we have counts for

collaborators

7 papers

nlin.PS2022★ 32 cited

Predicting nonlinear dynamics of optical solitons in optical fiber via the SCPINN

Yin Fang, Wen-Bo Bo, Ru-Ru Wang +2

The strongly-constrained physics-informed neural network (SCPINN) is proposed by adding the information of compound derivative embedded into the soft-constraint of physics-informed…

nlin.PS2022★ 58 cited

Data-driven soliton solutions and model parameters of nonlinear wave models via the conservation-law constrained neural network method

Yin Fang, Gang-Zhou Wu, Yue-Yue Wang +1

In the process of the deep learning, we integrate more integrable information of nonlinear wave models, such as the conservation law obtained from the integrable theory, into the n…

physics.optics2021★ 1 cited

Generation and dynamics of soliton and soliton molecules from a VSe2/GO-based fiber laser

Benhai Wang, Haobin Han, Lijun Yu +2

Recently, in addition to exploring the application of new saturable absorber devices in fiber lasers, soliton dynamics has also become a focus of current research. In this article,…

nlin.PS2021★ 86 cited

Predicting the dynamic process and model parameters of the vector optical solitons in birefringent fibers via the modified PINN

Gang-Zhou Wu, Yin Fang, Yue-Yue Wang +2

A modified physics-informed neural network is used to predict the dynamics of optical pulses including one-soliton, two-soliton, and rogue wave based on the coupled nonlinear Schrö…

nlin.PS2021★ 2 cited

Modified physics-informed neural network method based on the conservation law constraint and its prediction of optical solitons

Gang-Zhou Wu, Yin Fang, Yue-Yue Wang +1

Based on conservation laws as one of the important integrable properties of nonlinear physical models, we design a modified physics-informed neural network method based on the cons…

nlin.PS2021★ 8 cited

Data-driven femtosecond optical soliton excitations and parameters discovery of the high-order NLSE using the PINN

Yin Fang, Gang-Zhou Wu, Yue-Yue Wang +1

We use the physics-informed neural network to solve a variety of femtosecond optical soliton solutions of the high order nonlinear Schrödinger equation, including one-soliton solut…

nlin.SI2013★ 85 cited

Optical rogue waves in the generalized inhomogeneous higher-order nonlinear Schrodinger equation with modulating coefficients

Zhenya Yan, Chaoqing Dai

The higher-order dispersive and nonlinear effects (alias {\it the perturbation terms}) like the third-order dispersion, the self-steepening, and the self-frequency shift play impor…