The application of AI, or artificial intelligence, offers a novel opportunity to advance generative design in a number of mobility-related fields. The method allows for the creation of parts to be ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...

This review is organized into six sections: (1) the progression from traditional modeling approaches to AI-driven design of individual ADC components; (2) the application of deep learning (DL) to ...

In this work, we propose a data-driven design pipeline for quick design exploration of performance and appearance guided alternatives for vehicle design. At the heart of our system is a machine ...

This review, focusing primarily on studies published in the last five years, explores the transformative role of SCTs in computational nanotechnology, highlighting key applications, challenges, and ...

At the 2025 Design Automation Conference, Siemens Digital Industries Software today unveiled its AI-enhanced toolset for the EDA design flow. Throughout the event, Siemens is showcasing how ...

Jun. 23, 2025 – Siemens adds AI capabilities across EDA portfolio, enhancing productivity, accelerating innovation and speeding time-to-market New AI system enables EDA engineers to leverage AI ...

Increased access to generative and agentic AI with NVIDIA NIM microservices and NVIDIA Nemotron models accelerates system-on-a-chip (SoC) and chip design flows, PCB systems design and verification ...