Work

Solving ultra-high-load, low-pressure turbine cascade flow using physics-informed neural networks with boundary identification strategy

Year: 2025

Type: article

Source: Physics of Fluids

DOI: 10.1063/5.0264010

Authors: Ruoyu Chen, Ziliang Li, Jianshe Zhang, Hang Yuan, Xingen Lu

Institutions: Chinese Academy of Sciences, Institute of Engineering Thermophysics, University of Chinese Academy of Sciences

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G636710899

OpenAlex ID: W4409369105

FWCI: 1.26

Cites: 36

Cited by: 3

Related to: 10