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.

To address the dual requirements of dynamic topology optimization and static strength in the design of excavator working devices, this paper proposes a dynamic topology optimization method based on ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

Electromagnetic (EM) wave front modulation has important significance in both scientific research and industrial applications. However, conventional dielectric materials have limited choices of ...

Shares of electronic design automation Cadence Design Systems (CDNS) found themselves back in the spotlight on June 8 after ...

As integrated circuit (IC) designs continue to scale, the demand for efficient power management, performance optimization and reliable physical layout modification grows more critical. Meeting these ...

In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

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 ...

Associate Professor, Director of the Microscopy and Cytometry Core Facility at Amsterdam UMC and Co-Director of the Immune Monitoring Unit at the Amsterdam UMC Immunotherapy Center Multiplexed ...

Achieving cost-competitiveness for green hydrogen produced via water electrolysis using intermittent renewable energy sources remains a significant challenge. Researchers from LUT University in ...

Cadence expands Intel Foundry deal to optimize Intel 14A, boosting AI EDA tools, design IP, and revenue visibility—plus why ...