Topology optimization was a method to optimize the structure in design area according to the given external load and boundary conditions on the premise of satisfying the constraints such as stress, ...

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.

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 ...

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 ...

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 ...

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

Simulation is playing an increasingly critical and central role throughout the design-through-manufacturing flow, fusing together everything from design to manufacturing and test in order to reduce ...

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 ...

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, ...