T-junctions are extensively applied in industries including petroleum industry, nuclear power
plant, thermodynamic cycle, chemical industry and so on. The uneven distribution …

For developing a reliable data-driven Reynold stress tensor (RST) model, successful
reconstruction of the mean velocity field based on high-fidelity information (ie, direct …

In the present paper, a new data-driven model is proposed to close and increase accuracy
of Reynolds-averaged Navier–Stokes equations. Among the variety of turbulent quantities, it …

We develop a data-driven machine learning (ML) turbulence model and conduct a
comparative study with representative approaches employed in the literature. The new …

The long lasting demand for better turbulence models and the still prohibitively
computational cost of high‐fidelity fluid dynamics simulations, like direct numerical …

In the context of fundamental flow studies, experimental databases are expected to provide
uncertainty margins on the measured quantities. With the rapid increase in available …

For developing a reliable data-driven Reynold stress tensor (RST) model, successful
reconstruction of the mean velocity field based on high-fidelity information (ie direct …