Additive manufacturing (AM) has already undergone substantial advances over the past two decades since its renaissance in the early 2000s, solidifying its position as a viable manufacturing technology ...
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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 ...
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 ...
User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...
MUNICH, Germany--(BUSINESS WIRE)--SimScale, the leader in cloud-native engineering simulation, today announces the launch of the world’s first foundation AI model for turbomachinery simulation. Built ...
Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can ...
How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...
Add Futurism (opens in a new tab) Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. What if gravity were ...
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