Abstract Machine learning is rapidly becoming a core technology for scientific computing,
with numerous opportunities to advance the field of computational fluid dynamics. Here we …

Fast and accurate airflow simulations in the built environment are critical to provide
acceptable thermal comfort and air quality to the occupants. Computational Fluid Dynamics …

高超声速飞行器边界层容易经历层流/湍流转捩, 层流流动和湍流流动在摩擦阻力, 热交换,
噪声和掺混等方面有巨大差别, 转捩问题已成为制约高超声速技术突破的基础科学问题之一 …

The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and
weather prediction, hinge on the choice of turbulence models. The abundance of data from …

In recent decades, the environmental impacts of aviation have become a key challenge for
the aeronautical community. Advanced and well-established technologies such as active …

In recent years, the data-driven turbulence model has attracted widespread concern in fluid
mechanics. The existing approaches modify or supplement the original turbulence model by …

Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to developing the fundamental theory, Jameson implemented that theory in …

Large-eddy simulation (LES) has proven to be a computationally tractable approach to
simulate unsteady turbulent flows. However, prohibitive resolution requirements induced by …

Over the past several decades, computational fluid dynamics has been increasingly used in
the aerospace industry for the design and study of new and derivative aircraft. In this review …

Reynolds-averaged Navier–Stokes simulations represent a cost-effective option for practical
engineering applications, but are facing ever-growing demands for more accurate …