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 ...

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 ...

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

This advancement in quantum algorithms could help accelerate some of the most computationally intensive simulations ...

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 ...

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

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 ...

For many people, "protein" is the key element of a food order. However, beyond the preferred choice of meats or plant-based alternatives, proteins encompass a large class of complex biomolecules whose ...