To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D flow MRI, computational fluid dynamics, and data assimilation, which ...

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 method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

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

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of ...

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 ...

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 ...

Physicists at Ludwig Maximilian University of Munich have developed a technique that overcomes the Nyquist-Shannon resolution limit in quantum simulations, enabling far more precise calculation of ...

Gravity used to be the most down-to-earth of ideas, the thing that kept apples falling and planets in line. Now a growing group of physicists is treating it as a possible glitch report from the fabric ...