At any given moment, trillions of particles called neutrinos are streaming through our bodies and every material in our surroundings, without noticeable effect. Smaller than electrons and lighter than photons, these ghostly entities are the most abundant particles with mass in the universe.

Go to Source

Metal oxides are abundant in nature and central to technologies such as photocatalysis and photovoltaics. Yet, many suffer from poor electrical conduction, caused by strong repulsion between electrons in neighboring metal atoms.

Go to Source

Temperatures of more than 10,000°C and a hail of charged particles from the fusion fuel (plasma): These are extreme conditions that the exhaust wall (divertor) of future fusion power plants will need to withstand. It makes handling the exhaust stream one of the main challenges to realizing clean, safe and affordable commercial fusion power plants. […]

A team from the Universitat Politècnica de València (UPV) and the University of Vigo (UVigo) has just published in Nature the results of a study in which they have uncovered why bridges—specifically steel truss bridges—do not collapse when affected by a catastrophic event such as an impact or an earthquake. And their conclusions are similar […]

Imagine a clock that doesn’t have electricity, but its hands and gears spin on their own for all eternity. In a new study, physicists at the University of Colorado Boulder have used liquid crystals, the same materials that are in your phone display, to create such a clock—or, at least, as close as humans can […]

The existing bottleneck in efficiently miniaturizing components for quantum computers could be eased with the help of 3D printing.

Go to Source

For over a hundred years, schoolchildren around the world have learned that ice melts when pressure and friction are applied. When you step out onto an icy pavement in winter, you can slip up because of the pressure exerted by your body weight through the sole of your (still warm) shoe. But it turns out […]

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature range. The findings have been published in Physical Review Letters. The team was led by Prof. Pan Ding, Associate Professor from the Departments of Physics and Chemistry, […]