CSD-PINN: a complex-symmetric, dynamic-weighted physics-informed neural network for parameter identification in high-order nonlinear Schrödinger equations.
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| Title: | CSD-PINN: a complex-symmetric, dynamic-weighted physics-informed neural network for parameter identification in high-order nonlinear Schrödinger equations. |
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| Authors: | Su, Mengdi1, Zhang, Zhiyang2, Liu, Muwei2, Qi, Fenghua3, qifenghua@bwu.edu.cn, Jiang, Yan1, jiangyan@bupt.edu.cn, Liu, Wenjun2, jungliu@bupt.edu.cn |
| Source: | Nonlinear Dynamics; Feb2026, Vol. 114 Issue 3, p1-17, 17p |
| Database: | Applied Science & Technology Source |
| ISSN: | 0924090X |
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| DOI: | 10.1007/s11071-025-12034-x |
