首页|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)
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)
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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.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTsinghua University
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