CSD-PINN: a complex-symmetric, dynamic-weighted physics-informed neural network for parameter identification in high-order nonlinear Schrödinger equations.
Saved in:
| Title: | CSD-PINN: a complex-symmetric, dynamic-weighted physics-informed neural network for parameter identification in high-order nonlinear Schrödinger equations. |
|---|---|
| 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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191342327 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: CSD-PINN: a complex-symmetric, dynamic-weighted physics-informed neural network for parameter identification in high-order nonlinear Schrödinger equations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Su%2C+Mengdi%22">Su, Mengdi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Zhiyang%22">Zhang, Zhiyang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Muwei%22">Liu, Muwei</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Qi%2C+Fenghua%22">Qi, Fenghua</searchLink><relatesTo>3</relatesTo>, <i>qifenghua@bwu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Yan%22">Jiang, Yan</searchLink><relatesTo>1</relatesTo>, <i>jiangyan@bupt.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Wenjun%22">Liu, Wenjun</searchLink><relatesTo>2</relatesTo>, <i>jungliu@bupt.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nonlinear+Dynamics%22">Nonlinear Dynamics</searchLink>; Feb2026, Vol. 114 Issue 3, p1-17, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191342327 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11071-025-12034-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: CSD-PINN: a complex-symmetric, dynamic-weighted physics-informed neural network for parameter identification in high-order nonlinear Schrödinger equations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Su, Mengdi – PersonEntity: Name: NameFull: Zhang, Zhiyang – PersonEntity: Name: NameFull: Liu, Muwei – PersonEntity: Name: NameFull: Qi, Fenghua – PersonEntity: Name: NameFull: Jiang, Yan – PersonEntity: Name: NameFull: Liu, Wenjun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0924090X Numbering: – Type: volume Value: 114 – Type: issue Value: 3 Titles: – TitleFull: Nonlinear Dynamics Type: main |
| ResultId | 1 |