Scientists discover Exotic Quantum State at Room Temperature

Quantum Hall effect

For the first time, physicists have observed novel quantum effects in a topological insulator at room temperature. This breakthrough, published as the cover article of the October issue of Nature Materials, came when Princeton scientists explored a topological material based on the element bismuth.

The scientists have used topological insulators to demonstrate quantum effects for more than a decade, but this experiment is the first time these effects have been observed at room temperature. Typically, inducing and observing quantum states in topological insulators requires temperatures around absolute zero, which is equal to -459 degrees Fahrenheit (or -273 degrees Celsius).

This finding opens up a new range of possibilities for the development of efficient quantum technologies, ...

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Tree Rings Offer Insight into Devastating Radiation Storms

A photoshopped image of a tree ring on a dark background, with one half on fire.
A composite image of a tree ring and flames – the UQ researchers analysed data from tree rings to measure historical cosmic events.

A University of Queensland study has shed new light on a mysterious, unpredictable and potentially devastating kind of astrophysical event. The team led by Dr Benjamin Pope from UQ’s School of Mathematics and Physics applied cutting edge statistics to data from millennia-old trees, to find out more about radiation ‘storms’.

“These huge bursts of cosmic radiation, known as Miyake Events, have occurred approximately once every thousand years but what causes them is unclear,” Dr Pope said. “The leading theory is that they are huge solar flares.

“We need to know more, because if one of these happened today, it would destroy technology including satellite...

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T2CI GAN: A Deep Learning Model that Generates Compressed Images from Text

T2CI GAN: A deep learning model that generates compressed images from text
The significance of applying the simple transformation on JPEG Compressed DCT images. Credit: Rajesh et al.

Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully used to generate image datasets to train other deep learning algorithms, to generate videos or animations for specific uses, and to create suitable captions for images.

Researchers at the Computer Vision and Biometrics Lab of IIT Allahabad and Vignan University in India have recently developed a new GAN-based model that can generate compressed images from text-based descriptions...

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Astronomers find Cosmic Rays driving Galaxy’s Winds

Credit: Institute for Research in Fundamental Sciences- IPM & European Southern Observatory (ESO)

Astronomers using the National Science Foundation’s Karl G. Jansky Very Large Array (VLA) have discovered an important new clue about how galaxies put the brakes on vigorous episodes of star formation. Their new study of the neighboring galaxy M33 indicates that fast-moving cosmicray electrons can drive winds that blow away the gas needed to form new stars.

Such winds are responsible for slowing the rate of star formation as galaxies evolve over time. However, shock waves from supernova explosions and energetic, black hole-powered jets of material coming from galactic cores have been considered the primary drivers of those winds...

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