The underlying mechanism is investigated using discrete element methods simulations.
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 ...
Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...
For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has ...
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 ...
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 ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
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 ...
New tool predicts city pollen travel, aiding public health as climate change extends pollen seasons and urban tree planting ...
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