Hosted on MSN

Physics-trained AI models reshape engineering design cycles

Physics-trained AI models are accelerating engineering simulations by replacing or supplementing traditional solvers, enabling rapid design iteration in industries like automotive and aerospace. These ...

How the architecture of the prefrontal cortex shapes our creativity

When a writer comes up with a striking metaphor, when an engineer solves a tricky problem by combining seemingly unrelated ...
Hosted on MSN

AI reshapes control system design with faster, adaptive workflows

Engineering and research communities are rapidly integrating AI into control system design, merging physics-based modeling, data-driven algorithms, and productivity tools to create faster, more ...
IEEE

An Efficient Parametric Modeling Framework for RIS Unit Design Using DOE Sampling and Artificial Neural Network Surrogates

Abstract: Reconfigurable intelligent metasurfaces (RISs) have emerged as promising platforms for flexible electromagnetic (EM) wave control. However, the design of metasurface units has traditionally ...
IEEE

Inverse Design of Electron Gun With Transfer Learning Based on Neural Network

Abstract: This article presents an inverse design with transfer learning based on neural network (ID-TL-NN) for the rapid design of electron guns, which expands the range of the structural parameter ...