Engineers at the University of California, San Diego, have developed a new family of methods to significantly increase the speed of time-resolved numerical simulations in computational grand challenge ...
Morning Overview on MSN
Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has ...
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 ...
Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...
A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...
Virtual reality Computational models put our understanding of the laws of physics to the test. But how much of the universe can we fit into a simulation? (Courtesy: iStock/agsandrew) As I write this, ...
At SAE World Congress 2026, Luminary, the Physics AI company, today announced SHIFT-Crash, the first Physics AI model that predicts full-vehicle crash response, including deformation and stress fields ...
T he giant planets of the Solar System have complex interiors that have been difficult to pin down. Inside Uranus and Neptune ...
Morning Overview on MSN
Physics-trained AI models speed up engineering simulations and design work
Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...
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