首页|New Findings Reported from Southern University of Science and Technology (SUSTec h) Describe Advances in Machine Learning (Prediction of Turbulent Channel Flow U sing Fourier Neural Operator-based Machine-learning Strategy)
New Findings Reported from Southern University of Science and Technology (SUSTec h) Describe Advances in Machine Learning (Prediction of Turbulent Channel Flow U sing Fourier Neural Operator-based Machine-learning Strategy)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting originating in Shenzhen, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Fast and accu rate predictions of turbulent flows are of great importance in the science and e ngineeringfield. In this paper, we investigate the implicit U-Net enhanced Four ier neural operator (IUFNO) in thestable prediction of long-time dynamics of th ree-dimensional (3D) turbulent channel flows.”
ShenzhenPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningSouthern University of Sci ence and Technology (SUSTech)
NETL
NSTL
