Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers

28 Aug 2019Junhyuk KimChanghoon Lee

A realistic inflow boundary condition is essential for successful simulation of the developing turbulent boundary layer or channel flows. Recent advances in artificial intelligence (AI) have enabled the development of an inflow generator that performs better than the synthetic methods based on intuitions... (read more)

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