The inverse design approach in magnonics exploits the wave nature of magnons and machine learning to develop logical devices with functionalities that exceed the capabilities of analytical methods.

The employment of numerical optimization techniques for parameter tuning of microwave components has nowadays become a commonplace. In pursuit of reliability, it is most often carried out at the level ...

Ever since the turn of the century, the technological landscape associated with every industry has been ever-evolving. There are a wide variety of engineering disciplines which have surfaced and are ...

What is robust design optimization (RDO), and is it better than standard optimization? In this customer case, we describe a multi-disciplinary optimization of a turbocharger compressor from Ford Motor ...

For hundreds of years manufacturers have compromised original design concepts to achieve “manufacturability.” Even accounting for progress in design, materials, and production processes, conventional ...

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization ...

Optimization of multiphysics analyses results in faster time to market and lower design risk for electronic systems AI-driven optimization quickly and efficiently explores design space and produces ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Why has analog design been a manual process? How artificial intelligence is improving the EDA process. The use of artificial intelligence (AI) has gained significant traction in many domains of EDA, ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...