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

A recurring challenge in science and engineering is the model–reality gap, where trusted legacy simulators lose fidelity due to unresolved physics or structural incompleteness. This challenge has ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of ...

Physics of Fluids (PoF) was founded in 1958 on the recognition that fluid motion lies at the heart of countless natural phenomena and technological innovations and the deepest understanding of fluid ...

This article predates Brown Brothers Media’s ownership of Science Blog and has not been reviewed under our current editorial process. It is preserved as part of the publication’s archive. The computer ...

Each of these simulation techniques has its place for fluid problems. Here’s how to pick which is best for yours. Finite element analysis (FEA) is primarily used to predict how external forces affect ...

Luminary is rethinking physics simulation workflows spanning GPU clusters from the ground up. The new company hopes the new architecture and business model will impact the simulation industry as much ...

With the magnificent real images of water pouring from the sky and the after-fire fumes from a car, there is no escaping from the laws of physics in movies either! Fluid simulation in the ’50s and ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...