News by Subject Technology & Engineering

A group of physicists predicted that much lower pressures of about 50,000 atm can produce 14 new uranium hydrides, of which only one, UH3, has been known to date. They include compounds rich in hydrogens, such as UH7 and UH8, that the scientists predicted to be superconducting too. Many of these compounds were then obtained in the experiments conducted at the US Carnegie Institution of Washington (USA) and the Institute of Solid State Physics of the Chinese Academy of Sciences.

Researchers at the University of Sussex have become the first in the world to develop technology which can bend sound waves around an obstacle and levitate an object above it.

Researchers at the universities in Linköping and Shenzhen have shown how an inorganic perovskite can be made into a cheap and efficient photodetector that transfers both text and music. "It's a promising material for future rapid optical communication", says Feng Gao, researcher at Linköping University.

Researchers reported a high-performance and transparent nanoforce touch sensor by developing a thin, flexible, and transparent hierarchical nanocomposite (HNC) film. The research team says their sensor simultaneously features all the necessary characters for industrial-grade application: high sensitivity, transparency, bending insensitivity, and manufacturability.

A NIMS research group has invented an ionic device, termed as ionic decision-maker, capable of quickly making its own decisions based on previous experience using changes in ionic/molecular concentrations. The group then succeeded in demonstrating its operation. This device is capable of making decisions while efficiently adapting to changing situations by a means unrelated to the storage of past experiences in computer memory or to the performance of decision-making computations.

A battery-free energy harvester, a novel conductive system for smartwatches, and a prototype that extends body language to the human ear feature at new tech conference.

Scientists have assumed that future terahertz data links would have an inherent immunity to eavesdropping, but new research shows that's not necessarily the case.

Researchers from Tokyo Metropolitan University have applied machine-learning techniques to achieve fast, accurate estimates of local geomagnetic fields using data taken at multiple observation points, potentially allowing detection of changes caused by earthquakes and tsunamis. A deep neural network (DNN) model was developed and trained using existing data; the result is a fast, efficient method for estimating magnetic fields for unprecedentedly early detection of natural disasters. This is vital for developing effective warning systems that might help reduce casualties and widespread damage.

Graphene Flagship industrial and academic partners published a new paper in Nature Reviews Materials analysing the possibilities of graphene in the internet of everything market, expected to reach over 12 billion connected devices in 2020