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 ...
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, ...
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 ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
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 ...
Not so long ago, supply chain disruptions were limited to a dockyard strike or a storm off the Atlantic Coast. Now vulnerabilities are everywhere: A pandemic shuts down entire factories, tariffs shift ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results