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Category: particle physics – Page 36

Researchers at the University of Tokyo have demonstrated that the direction of the spin-polarized current can be restricted to only one direction in a single-atom layer of a thallium-lead alloy when irradiated at room temperature. The discovery defies conventions: single-atom layers have been thought to be almost completely transparent, in other words, negligibly absorbing or interacting with light.

The one-directional flow of the current observed in this study makes possible functionality beyond ordinary diodes, paving the way for more environmentally friendly data storage, such as ultra-fine two-dimensional spintronic devices, in the future. The findings are published in the journal ACS Nano.

Diodes are fundamental building blocks of modern electronics by restricting the flow of currents to only one direction. However, the thinner the device, the more complicated it becomes to design and manufacture these functional components. Thus, demonstrating phenomena that might make such developmental feats possible is critical. Spintronics is an area of study in which researchers manipulate the (spin) of electrons, for example, by applying light.

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The development of sustainable energy sources that can satisfy the world energy demand is one of the most challenging scientific problems. Nuclear fusion, the energy source of stars, is a clean and virtually unlimited energy source that appears as a promising candidate.

The most promising fusion reactor design is based on the tokamak concept, which uses magnetic fields to confine the plasma. Achieving high confinement is key to the development of power plants and is the final aim of ITER, the largest tokamak in the world currently under construction in Cadarache (France).

The plasma edge stability in a tokamak plays a fundamental role in plasma confinement. In present-day tokamaks, edge instabilities, magnetohydrodynamic waves known as ELMs (edge localized modes), lead to significant particle and energy losses, like solar flares on the edge of the sun. The particle and energy losses due to ELMs can cause erosion and excessive heat fluxes onto the plasma-facing components, at levels unacceptable in future burning plasma devices.

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Bimetallic particles, made from a combination of a noble metal and a base metal, have unique catalytic properties that make them highly effective for selective heterogeneous hydrogenation reactions. These properties arise from their distinctive geometric and electronic structures. For hydrogenation to be both effective and selective, it requires specific interactions at the molecular level, where the active atoms on the catalyst precisely target the functional group in the substrate for transformation.

Nanoscale Engineering and Electronic Structure Tuning

Scaling these particles down to nanoscale atomic clusters or single-atom alloys further enhances their catalytic performance. This reduction in size increases surface dispersion and optimizes the use of noble metal atoms. Additionally, these nanoscale changes alter the electronic structure of the active sites, which can significantly influence the activity and selectivity of the reaction. By carefully adjusting the bonding between noble metal single atoms and the base metal host, researchers can create flexible environments that fine-tune the electronic properties needed to activate specific functional groups. Despite these advances, achieving atomically precise fabrication of such active sites remains a significant challenge.

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Quantum mechanics has long classified particles into just two distinct types: fermions and bosons.

Now physicists from Rice University in the US have found a third type might be possible after all, at least mathematically speaking. Known as a paraparticles, their behavior could imply the existence of elementary particles nobody has ever considered.

“We determined that new types of particles we never knew of before are possible,” says Kaden Hazzard, who with co-author Zhiyuan Wang formulated a theory to demonstrate how objects that weren’t fermions or bosons could exist in physical reality without breaking any known laws.

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Quantum computing is getting a lot of attention lately — deservedly so. It’s hard not to get excited about the new capabilities that quantum computing could bring. This new generation of computers will solve extremely complex problems by sorting through billions upon billions of wrong answers to arrive at the correct solutions. We could put these capabilities to work designing new medications or optimizing global infrastructure on an enormous scale.

But in the excitement surrounding quantum computing, what often gets lost is that computing is just one element of the larger quantum technologies story. We are entering a new quantum era in which we are learning to manipulate and control the quantum states of matter down to the level of individual particles. This has unlocked a wealth of new possibilities across multiple fields. For instance, by entangling two photons of light, we can generate a communications channel that is impervious to eavesdropping. Or we can put the highly sensitive nature of quantum particles to work detecting phenomena we have never been able to sense before.

We call this new era of innovation Quantum 2.0, distinguishing it from the Quantum 1.0 era of the last 100 years. Quantum 1.0 gave us some of the most remarkable inventions of the 20th century, from the transistor to the laser. But as we transition to Quantum 2.0, we are reconceptualizing the way we communicate and the way we sense the world, as well as the way we compute. What’s more, we’re only just beginning to realize Quantum 2.0’s full potential.

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The aurora borealis, or northern lights, is known for a stunning spectacle of light in the night sky, but this near-Earth manifestation, which is caused by explosive activity on the sun and carried by the solar wind, can also interrupt vital communications and security infrastructure on Earth. Using artificial intelligence, researchers at the University of New Hampshire have categorized and labeled the largest-ever database of aurora images that could help scientists better understand and forecast the disruptive geomagnetic storms.

The research, recently published in the Journal of Geophysical Research: Machine Learning and Computation, developed artificial intelligence and machine learning tools that were able to successfully identify and classify over 706 million images of auroral phenomena in NASA’s Time History of Events and Macroscale Interactions during Substorms (THEMIS) data set collected by twin spacecrafts studying the space environment around Earth. THEMIS provides images of the night sky every three seconds from sunset to sunrise from 23 different stations across North America.

“The massive dataset is a valuable resource that can help researchers understand how the interacts with the Earth’s magnetosphere, the protective bubble that shields us from charged particles streaming from the sun,” said Jeremiah Johnson, associate professor of applied engineering and sciences and the study’s lead author. “But until now, its huge size limited how effectively we can use that data.”

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In October 2022, scientists detected the explosive death of a star 2.4 billion light-years away that was brighter than any ever recorded.

As the star’s core collapsed down into a black hole, the gamma-ray burst emitted by the star – an event named GRB 221009A – erupted with energies of up to 18 teraelectronvolts. Gamma-ray bursts are already the brightest explosions our Universe can produce; but GRB 221009A was an absolute record-smasher, earning it the moniker “the BOAT” – Brightest Of All Time.

There is, however, something wrong with the picture, according to a team of astrophysicists led by Giorgio Galanti of the National Institute for Astrophysics (INAF) in Italy. Based on cutting-edge models of the Universe, we shouldn’t be able to see photons more powerful than 10 teraelectronvolts in data from the Large High Altitude Air Shower Observatory (LHAASO) that made the detection.

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