Gallium nitride, a semiconductor renowned for its efficiency and high-speed capabilities, has long been recognized as a ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

A research team has synthesized three-dimensionally shaped molecules containing an internal twist and shown that they possess ...

- The global market for semiconductor devices for high-temperature applications was valued at $10.9 billion in 2023 and is projected to reach $18.5 billion by the end of 2029, at a CAGR of 9.4% ...

Imec is a world-leading research and innovation center in nanoelectronics and digital technologies. Imec has more than 6.000 ...

In a paper published as an Editor's Pick in Applied Physics Letters, College of Engineering's Georges Pavlidis outlines ways ...

These prototype processors made from atomically thin materials offer a glimpse into a post-silicon-transistor future, but scaling challenges remain. Read the paper: A complementary two-dimensional ...

The low-cost, scalable technology enables seamless integration of high-speed gallium nitride transistors onto a standard ...

Self-driving cars that glide through cities without ever hitting traffic, virtual doctors diagnosing you instantly at home, ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...