PINN deep learning method for the Chen–Lee–Liu equation: Rogue wave on the periodic background
Authors:
- Wei-Qi PengWPWei-Qi Peng
- Jun-Cai PuJPJun-Cai Pu
- Yong ChenYCYong Chen
Top Cited Papers
- 1 February 2022
- journal article
- research article
- Published by Elsevier in Communications in Nonlinear Science and Numerical Simulation
- Vol. 105
Abstract
No abstract availableKeywords
Funding Information
- Global Change Research Program of China (2015CB953904)
- National Natural Science Foundation of China (12175069)
- Science and Technology Commission of Shanghai Municipality (18dz2271000)
This publication has 43 references indexed in Scilit:
- Matter rogue wavesPhysical Review A, 2009
- Self-steepening of ultrashort optical pulses without self-phase-modulationPhysical Review A, 2007
- DNLS equation for large-amplitude solitons propagating in an arbitrary direction in a high-β Hall plasmaJournal of Plasma Physics, 2002
- Nonlinear Alfvén waves and the DNLS equation: oblique aspectsPhysica Scripta, 1989
- Large Sample Properties of Simulations Using Latin Hypercube SamplingTechnometrics, 1987
- Nonlinear asymmetric self-phase modulation and self-steepening of pulses in long optical waveguidesPhysical Review A, 1983
- Self-phase modulation in long-geometry optical waveguidesPhysical Review A, 1981
- Integrability of Nonlinear Hamiltonian Systems by Inverse Scattering MethodPhysica Scripta, 1979
- Parallel Propagation of Nonlinear Low-Frequency Waves in High-β PlasmaThe Physics of Fluids, 1971
- The perceptron: A probabilistic model for information storage and organization in the brain.Psychological Review, 1958