The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data
from experiments, field measurements, and large-scale simulations at multiple …

The field of machine learning (ML) has rapidly advanced the state of the art in many fields of
science and engineering, including experimental fluid dynamics, which is one of the original …

This book is an introduction to machine learning control (MLC), a surprisingly simple model-
free methodology to tame complex nonlinear systems. These systems are assumed to be …

Autonomous platforms already make observations over a wide range of temporal and spatial
scales, measuring salinity, temperature, nitrate, pressure, oxygen, biomass, and many other …

In many applications it is important to estimate a fluid flow field from limited and possibly
corrupt measurements. Current methods in flow estimation often use least squares …

Prediction of complex fluid flows from sparse and noisy sensor measurements is widely
applied to many engineering fields. In the present study, a novel compressed sensing …

Cross-flow turbines harness kinetic energy in wind or moving water. Due to their unsteady
fluid dynamics, it can be difficult to predict the interplay between aspects of rotor geometry …

Abstract The development of Vertical Axis Wind Turbines (VAWTs) has continued for nearly
half a century without agreement on a valid procedure for the design and testing of turbines …

Vertical axis wind and tidal turbines are a promising technology, well suited to harness
kinetic energy from highly turbulent environments such as urban areas or rivers. The power …

The deployment of in-stream flow-energy converters in rivers is an opportunity to expand the
renewable energy portfolio and limit carbon emissions. Device performance and lifetime …