A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

D computational fluid dynamics offers insight into methanol production from hydrogen and recycled carbon dioxide for ...

If you're a soccer fan, you're familiar with this common sight: A penalty kick is in place, with a "wall" of defenders lined up in front of the goal, ready to leap to try to block the ball if it sails ...

Abstract: Infrared small target detection (IRSTD) aims to identify and locate small targets amidst background noise. It is highly valuable in various practical application domains, such as maritime ...

Abstract: This study presents a hybrid approach combining advanced Computational Fluid Dynamics (CFD) simulations with non-intrusive experimental techniques to characterize flow regimes in complex ...

In context: Computational fluid dynamics (CFD) exploits the power of computer technology to study and predict how fluids behave under simulated conditions. Supercomputers can do wonders with CFD ...

Flow chemistry is revolutionizing the way we design and study macromolecules, offering a powerful, complementary approach to materials discovery—one that seamlessly integrates with modern data-driven ...

Today, more than half of the world’s population—around 55 %—lives in cities, and that number is only rising. By 2050, urban areas are expected to house 68 % of the global population, adding 2.5 ...

Background Some patients with severe asthma have persistent type-2 inflammation despite being treated with high-dose inhaled corticosteroids (ICS). The variability in ICS deposition between patients ...

Computer scientists at the University of California San Diego have developed a groundbreaking method for generating highly realistic computer-generated images of fluid dynamics, in elements such as ...