David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

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 ...

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 ...

Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

Despite the huge technological interest in boron nitride (BN), understanding the relative stability of its different structural phases remains a challenge owing to conflicting results from experiments ...

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 ...

While the concept of quantum computing has been discussed for more than 40 years, only recently have experiments indicated that a practical quantum computer may be possible. Recent developments in ...