Deep reinforcement learning (DRL) has been applied to a variety of problems during the
past decade and has provided effective control strategies in high-dimensional and non …

The quest for reductions in fuel consumption and CO 2 emissions in transport has been a
powerful driving force for scientific research into methods that might underpin drag-reducing …

In this review, we summarize existing trends of flow control used to improve the aerodynamic
efficiency of wings. We first discuss active methods to control turbulence, starting with flat …

Physics-informed neural networks (PINN) are machine-learning methods that have been
proved to be very successful and effective for solving governing equations of fluid flow. In …

This article presents a new method to identify the main patterns describing the flow motion in
complex flows. The algorithm is an extension of the higher-order dynamic mode …

Vertical axis wind turbine (VAWT) has become a research hotspot because of its structural
advantages and omni-direction capability. While a further performance improvement is …

The present work investigates the effects of multi-suction jets on the NACA 0012 airfoil's
aerodynamic characteristics at Reynolds number Re equal 0.54× 10 5. Experiments and …

Flow control for turbulent skin-friction drag reduction is applied to a transonic airfoil to
improve its aerodynamic performance. The study is based on direct numerical simulations …

Lattice Boltzmann simulations were carried out to investigate the noise mitigation
mechanisms of a 3-D printed porous trailing-edge insert, elucidating the link between noise …

A detailed analysis of the effects of uniform blowing, uniform suction, and body-force
dam** on the turbulent boundary layer develo** around a NACA4412 airfoil at …