Researchers from Tsinghua University Provide Details of New Studies and Findings in the Area of Machine Learning (Local Turbulence Generation Using Conditional Generative Adversarial Networks Toward Reynolds-averaged Navier-stokes Modeling)

Robotics & Machine Learning Daily News2024，Issue(Jan.23) ：37-37.

来源：

NETL
NSTL

Researchers from Tsinghua University Provide Details of New Studies and Findings in the Area of Machine Learning (Local Turbulence Generation Using Conditional Generative Adversarial Networks Toward Reynolds-averaged Navier-stokes Modeling)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Machine Learning. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Data-driven turbulencemodeling has been extensively studied in recent years. To date, only high-fidelity data from the meanflow field have been used for Reynolds-averaged Navier-Stokes (RANS) modeling, while the instantaneousturbulence fields from direct numerical simulation and large eddy simulation simulations have not beenutilized.”

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航