This article presents an approach for modeling polarization-graded gallium nitride (GaN) high-electron-mobility transistors (HEMTs). Unlike conventional GaN HEMTs, where a 2-D electron gas (2DEG) ...

A collaborative research team has developed a novel method for forming high-performance high-entropy alloy (HEA) films on various surfaces without using expensive alloy targets. This was achieved ...

What is a Generative Adversarial Network (GAN)? Generative Adversarial Networks, or GANs, are a type of deep learning model made up of two neural networks that are essentially in a creative face ...

This flow uses the TestMAX common data model to ensure efficient and accurate communication. The diagram above also shows examples of the test-related IP available. Synopsys Star Memory System (SMS) ...

The development of a semiconductor system is more complex than just describing functionality in RTL. How ready are AI models to handle the larger task?

Three-dimensional characterization of materials using X-ray computed tomography (XCT) is challenging due to the complexity of internal structures, noise, and variations in resolution. Traditional ...

Cohere's new Command A Vision model is designed to handle images, diagrams, PDFs, and other types of visual data.

Despite challenges like training instability and small datasets, GAN-based models are effective for improving MRI resolution and fidelity. The main goal of this project is to develop and implement a ...

WFLM-GAN：Multiscale Generative Adversarial Network Based on Wavelet Feature Learning for SAR-to-Optical Image Translation - NWPU-LHH/WFLM-GAN ...