Active colloids are self-propelled particles moving in viscous fluids by consuming fuel from
their surroundings. Here, we review the numerical and theoretical modeling of active …

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 …

To realize the potential of autonomous underwater robots that scale up our observational
capacity in the ocean, new techniques are needed. Fleets of autonomous robots could be …

The question of how “smart” active agents, like insects, microorganisms, or future colloidal
robots need to steer to optimally reach or discover a target, such as an odor source, food, or …

Marine micro-organisms must cope with complex flow patterns and even turbulence as they
navigate the ocean. To survive they must avoid predation and find efficient energy sources …

Sensing is one of the most fundamental tasks for the monitoring, forecasting, and control of
complex, spatio-temporal systems. In many applications, a limited number of sensors are …

In marine plankton, many swimming species can perceive their environment with flow
sensors. Can they use this flow information to travel faster in turbulence? To address this …

Biological microswimmers can coordinate their motions to exploit their fluid environment—
and each other—to achieve global advantages in their locomotory performance. These …

The study of microswimmers' behavior, including their self-propulsion, interactions with the
environment, and collective phenomena, has received significant attention over the past few …

Hydrokinetic turbines such as vertical axis turbines (VATs) may provide decentralised, clean,
sustainable energy for remote communities that lack access to the main energy grid or …