Predicting positon solutions of a family of nonlinear Schrödinger equations through deep learning algorithm
DOI10.1016/j.physleta.2024.129551MaRDI QIDQ6556410
N. Vishnu Priya, S. Monisha, K. Thulasidharan, M. Senthilvelan
Publication date: 17 June 2024
Published in: Physics Letters. A (Search for Journal in Brave)
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Completely integrable infinite-dimensional Hamiltonian and Lagrangian systems, integration methods, integrability tests, integrable hierarchies (KdV, KP, Toda, etc.) (37K10) NLS equations (nonlinear Schrödinger equations) (35Q55) Lie-Bäcklund and other transformations for infinite-dimensional Hamiltonian and Lagrangian systems (37K35) Solutions to PDEs in closed form (35C05) Soliton solutions (35C08) Time-dependent Schrödinger equations and Dirac equations (35Q41)
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