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Data-driven soliton solutions and parameter identification of the nonlocal nonlinear Schrödinger equation using the physics-informed neural network algorithm with parameter regularization

Crossref DOI link: https://doi.org/10.1007/s11071-024-10562-6

Published Online: 2024-11-05

Published Print: 2025-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhao, Nan

Chen, Yuheng

Cheng, Li

Chen, Junchao
Funding

Funding for this research was provided by:

Zhejiang Sci-Tech University Excellent Postgraduate Dissertation Cultivation Fund Project (LW-YP2024015)

National Natural Science Foundation of China (12171217, 12375003)

Zhejiang Province Natural Science Foundation of China (2022SJGYZC01)
License Information

Text and Data Mining valid from 2024-11-05

Version of Record valid from 2024-11-05
More Information

Article History

Received: 29 August 2024

Accepted: 25 October 2024

First Online: 5 November 2024

Declarations

:

: The authors declare that they have no conflict of interest.

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