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

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 ...

An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...

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

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO” or the 'Company”), a technology service provider, announces the development ...

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 ...

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

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 ...