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 ...

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 ...

Core to the approach is what the companies call a one-step simplified LBM, or OSSLBM, framework. The method uses a hybrid ...

Terapage unifies research into one AI-powered platform, capturing real human experiences to deliver faster, deeper, and ...

Before ripping out reliable hydraulic and pneumatic equipment, learn how protocol gateways, digital twins and predictive ...

New pump designs and smart technologies ensure long-term performance in chemical process applications Chemical processes have ...

LEAP Australia explains how simulation enables the modelling and analysis of the complex systems involved in hydrogen ...

Schneider Electric executives Marc Garner and Jim Simonelli outlined how AI infrastructure is forcing a deeper rethink of ...

ThinkLabs AI has raised $28 million with backing from NVIDIA and energy investors to help utilities modernize power-grid ...

In A Nutshell Scientists discovered a previously unknown form of mixing that occurs when large groups of dense particles ...

Controlling the flow Vortex-induced heat backflow (top) in a simulated 2D graphite strip, compared with conventional heat flow (bottom). (Courtesy: 2026 THEOS EPFL CC BY SA) We are all familiar with ...