Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of ...

Numerical modeling has played a pivotal role in advancing inertial microfluidics, tracing its development from inception and offering deeper insights into the microscale phenomena governing inertial ...

Granular matter is ubiquitous in nature and is present in diverse forms in important engineering, industrial and natural processes. Particle-based computational modelling has become indispensable to ...

What governs the speed at which raindrops fall, sediment settles in river estuaries, and matter is ejected during a supernova? These questions circle around one, deceitfully simple factor: the rate at ...

Researchers from Trinity College Dublin’s School of Engineering have built a powerful new machine that lets us watch precisely what happens when tiny particles — far smaller than a grain of sand — hit ...

The counter continuously monitors hydraulic-fluid cleanliness and is reportedly ideal for preventive maintenance of hydraulic fluid. The TCM oil analyzer is among the latest generation of small-scale ...

Physicists at the University of Bayreuth have investigated the so-called Basset–Boussinesq history force acting on particles in fluids. Due to the difficulty of calculating it, this force is often ...

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of ...