首页|Researchers at Rolls Royce PLC Report New Data on Machine Learning (A Grid-induced and Physics-informed Machine Learning Cfd Framework for Turbulent Flows)
Researchers at Rolls Royce PLC Report New Data on Machine Learning (A Grid-induced and Physics-informed Machine Learning Cfd Framework for Turbulent Flows)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofDerby, United Kingdom, by NewsRx editors, research stated, “High fidelity computational fluid dynamics(CFD) is increasingly being used to enable deeper understanding of turbulence or to aid in the design ofpractical engineering systems. While such CFD approaches can predict complex turbulence phenomena,the computational grid often needs to be sufficiently refined to accurately capture the flow, especially athigh Reynolds number.”