Manufacturing complex fluids industrially often involves mechanical forces that introduce internal stress and damage ...

Encapsulated microbubbles (EMBs) are vital in ultrasound imaging and emerging drug-delivery technologies. To analyze their ...

Alonso breaks down how advances in computational fluid dynamics and physics AI are enabling designers to simulate complex ...

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 ...

JAX-CFD is an experimental research project for exploring the potential of machine learning, automatic differentiation and hardware accelerators (GPU/TPU) for computational fluid dynamics. It is ...

Computational Fluid Dynamics (CFD) is a popular method used for modeling systems utilizing single-phase flows and is widely used across industries for design optimization. However, their use in ...

This port is a good pedagogical tool to learn how to implement traditional numerical solvers using modern deep learning software interfaces. The main changes are documented in the torch_cfd directory.

Abstract: Predictive modeling of fluid dynamics is vital for many engineering applications, but classical computational fluid dynamics (CFD) methods tend to suffer with high computing costs and low ...

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 ...

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 ...