David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Core to the approach is what the companies call a one-step simplified LBM, or OSSLBM, framework. The method uses a hybrid ...
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 ...
With an ultimate goal of patient safety and clinical excellence for all our healthcare learners, the Simulation Core employs various validated simulation methods to ensure realistic learning ...
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 ...
Electromagnetic-thermal co-simulation methods integrate the numerical assessment of electromagnetic fields with thermal analysis to predict the coupled behaviour of systems in which heat generation ...
Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...
Trends in RF technology are moving to much more complex, larger, denser, and dynamic structures than ever before. This is a natural evolution of RF technology as more techniques are developed to solve ...
A new technical paper titled “Multiscale Simulation and Machine Learning Facilitated Design of Two-Dimensional Nanomaterials-Based Tunnel Field-Effect Transistors: A Review” was published by ...
Cardiology training today exists in a paradox. As the specialty becomes more complex, particularly in procedural domains, the time and resources available to train new cardiologists have dwindled.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results