Category Physics

Researchers have created a new class of materials called “glassy gels” that are very hard and difficult to break despite containing more than 50% liquid. Coupled with the fact that glassy gels are simple to produce, the material holds promise for a variety of applications.

Gels and glassy polymers are classes of materials that have historically been viewed as distinct from one another. Glassy polymers are hard, stiff and often brittle. They’re used to make things like water bottles or airplane windows. Gels – such as contact lenses – contain liquid and are soft and stretchy.

“We’ve created a class of materials that we’ve termed glassy gels, which are as hard as glassy polymers, but – if you apply enough force – can stretch up to five times t...

The proposed innovative design leads to unprecedented power conversion efficiency and improved versatility. A recently developed wirelessly powered 5G relay could accelerate the development of smart factories, report scientists from Tokyo Tech. By adopting a lower operating frequency for wireless power transfer, the proposed relay design solves many of the current limitations, including range and efficiency. In turn, this allows for a more versatile and widespread arrangement of sensors and transceivers in industrial settings.

One of the hallmarks of the Information Age is the transformation of industries towards...

A research team has successfully developed a catalyst coating technology that significantly improves the performance of solid oxide fuel cells (SOFCs) in just four minutes.

Dr. Yoonseok Choi from the Hydrogen Convergence Materials Laboratory at the Korea Institute of Energy Research (KIER), in collaboration with Professor WooChul Jung from the Department of Materials Science and Engineering at KAIST and Professor Beom-Kyung Park from the Department of Materials Science and Engineering at Pusan National University, led the research.

Their findings were published in Adva...

The performance of artificial intelligence (AI) tools, including large computational models for natural language processing (NLP) and computer vision algorithms, has been rapidly improving over the past decades. One reason for this is that datasets to train these algorithms have exponentially grown, collecting hundreds of thousands of images and texts often collected from the internet.

Training data for robot control and planning algorithms, on the other hand, remains far less abundant, in part because acquiring it is not as straightforward...