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 to AI models trained not just on data but on the fundamental equations of ...
IEEE Spectrum on MSN
AI models trained on physics are changing engineering
Large physics models are increasingly used to bypass simulation ...
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 ...
Why real-world, physics-based simulation is important to designers. What is a pluggable solver? What is Ansys Perceive EM? These days, most products are simulated well before they’re constructed or ...
Abstract: Artificial intelligence (AI) has reshaped industries like tech, finance, and medicine and is now widely accessible to the general public, with examples like ChatGPT and Midjourney. However, ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
In the early years of space exploration, scientists and engineers dreamed of sending vehicles to Mars that could land on the planet’s surface and explore its terrain. However, one of their biggest ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
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