Our research efforts in Computational Fluid Dynamics (CFD) include high performance computing for compressible and incompressible flows, development of finite volume schemes for hybrid and generalized ...

Comparing the accuracy of two meshing workflows when dealing with complex blade geometries.

Computational fluid dynamics (CFD) simulations are complex, computationally expensive and not typically something that startups focus on. But that’s exactly what Boston- and Berlin-based Dive is doing ...

Fluid dynamics simulation techniques have undergone significant evolution in recent years, combining traditional numerical methods with innovations such as data‐driven modelling and machine learning.

Researchers in the United States have used an exascale supercomputer to perform the largest fluid dynamics simulation ever. It surpassed one quadrillion degrees of freedom in a single computational ...

More powerful chips are enabling chips to process more data faster, but they’re also having a revolutionary impact on how that data can be used. Simulations that used to take days or weeks now can be ...

HELSINKI, FINLAND, April 2, 2026 /EINPresswire.com/ — Researchers from Quanscient, a leader in cloud-based multiphysics simulation technology and quantum algorithms ...

Researchers combined two modal decomposition techniques to better understand flow patterns inside the left ventricle that may ...

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 ...