Category Physics

DGIST research teams have developed a self-powered sensor that uses motion and pressure to generate electricity and light simultaneously. This battery-free technology is expected to be used in various real-life applications, such as disaster rescue, sports, and wearable devices.

Triboelectric nanogenerators (TENG) and mechanoluminescence (ML) have attracted attention as green energy technologies that can generate electricity and light, respectively, without external power. However, researchers in previous studies mainly focused on the two technologies separately or simply combined them. Moreover, the power output stability of TENG and the insufficient luminous duration of ML materials have been major limitations for practical applications.

Physicists have performed a groundbreaking simulation they say sheds new light on an elusive phenomenon that could determine the ultimate fate of the Universe.

Pioneering research in quantum field theory around 50 years ago proposed that the universe may be trapped in a false vacuum — meaning it appears stable but in fact could be on the verge of transitioning to an even more stable, true vacuum state. While this process could trigger a catastrophic change in the Universe’s structure, experts agree that predicting the timeline is challenging, but it is likely to occur over an astronomically long period, potentially spanning millions of years.

In an international collaboration between three research institutions, the team report gaining valuable insights into false vacuum decay —...

Quantum researchers from CSIRO, Australia’s national science agency, have demonstrated the potential for quantum computing to significantly improve how we solve complex problems involving large datasets, highlighting the potential of using quantum in areas such as real-time traffic management, agricultural monitoring, healthcare, and energy optimization.

By leveraging the unique properties of quantum computing, like superposition and entanglement, researchers compressed and analyzed a large dataset with speed, accuracy, and efficiency that traditional computers cannot match.

The work is published in the journa...

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam.

In a new paper published in Advanced Materials, a team led by Professor Tobin Filleter describes how they made nanomaterials with properties that offer a conflicting combination of exceptional strength, light weight and customizability. The approach could benefit a wide range of industries, from automotive to aerospace.

“Nano-architected materials combine high performance shapes, like making a bridge out of triangles, at nanoscale sizes, which takes advantage of the ‘smaller is stronger’ effect, to achieve some of the highest strength-to-weight and stiffness-to-we...