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 …

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 …

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 …

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 …

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 …

This work studies the effects of skin-friction drag reduction in a turbulent flow over a curved
wall, with a view to understanding the relationship between the reduction of friction and …

An extensive parametric study of turbulent boundary-layer control on airfoils via uniform
blowing or suction is presented. The control is applied on either the suction or pressure side …

Skin-friction drag is a major engineering concern, with wide-ranging consequences across
many industries. Active flow-control techniques targeted at minimising skin friction have the …