Meshfree methods have emerged as a powerful alternative to traditional finite element approaches by eliminating the reliance on fixed meshes for domain discretisation. These techniques, which include ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

A breakthrough deterministic physics kernel delivers molecular, materials, and reaction screening across three ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

Deputy director of the School of Computing at the Australian National University, Amanda Barnard talks to Hamish Johnston about research at the interface of computational modelling, applied machine ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

Computational physics jobs involve calculations and formulas. It combines physics, computer science and applied mathematics in order to provide scientific solutions to realistic and often complex ...

Prepare yourself to explore future science and technology with our interdisciplinary graduate certificate program. These certificates allow students to learn beyond their graduate research. Current ...

In the early years of computational physics, starting during the Second World War, the discipline and its practitioners did not yet have a name. Iulia Georgescu tells the story of these forgotten ...

Propel your career forward with an accredited graduate certificate. This certificate is for qualified professionals who want to enhance their skill set and can be a foundation to continue toward a ...