Work

Lax-Pair-FIND: Discovering Lax pair from scarce data via deep learning

Year: 2025

Type: article

Source: Chaos An Interdisciplinary Journal of Nonlinear Science

DOI: 10.1063/5.0278425

Authors: Shuning Lin, Yong Chen

Institutions: Fudan University, East China Normal University, Shandong University of Science and Technology

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality

Awards: G171526610, G3328150738, G6160444961, G8067327912, G8343949041

OpenAlex ID: W4416206887

FWCI: 1.286

Cites: 27

Cited by: 3

Related to: