Channel-assisted Fourier neural operator for high-fidelity far-wake prediction of a wind turbine under yawed conditions
Year: 2025
Type: article
Source: Physics of Fluids
DOI: 10.1063/5.0287914
Authors: Eunchan Lee, Sang Lee
Institution: Korea Advanced Institute of Science and Technology
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Awards: G1842009197, G4492886956
OpenAlex ID: W4414130169