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Category: particle physics – Page 32

The rapid advancement of technologies like artificial intelligence (AI) and the Internet of Things (IoT) has heightened the demand for high-speed, energy-efficient memory devices. Traditional memory technologies often struggle to balance performance with power consumption.

Spintronic devices, which leverage electron spin rather than charge, present a promising alternative. In particular, TMD materials are attractive due to their unique electronic properties and potential for miniaturization.

Researchers have proposed the development of gate-controllable TMD spin valves to address these challenges. By integrating a gate mechanism, these devices can modulate spin transport properties, enabling precise control over memory operations. This approach aims to enhance tunneling magnetoresistance (TMR) ratios, improve spin current densities, and reduce during read and write processes. The study is published in the Journal of Alloys and Compounds.

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Enter laser-plasma accelerators (LPAs). LPAs use high-intensity lasers to strike a target, generating charged particle beams that reach comparable speeds to those produced using traditional accelerators – but in a fraction of the distance. Scientists are exploring LPAs as a compact, cost-effective way to generate proton beams, but several technical challenges have hindered their progress.

One challenge arises from the high-intensity laser, which destroys the targets after each pulse, requiring a new target for every shot. Another issue is the beam divergence – proton beams produced by LPAs typically spread out like a floodlight rather than maintaining a narrow focus. Both the need for target replacement and the beam divergence significantly reduce the efficiency of LPA systems.

In this recent study, researchers made an unexpected breakthrough, simultaneously resolving multiple problems although they had only aimed to address one.

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Entanglement—linking distant particles or groups of particles so that one cannot be described without the other—is at the core of the quantum revolution changing the face of modern technology.

While entanglement has been demonstrated in very small particles, new research from the lab of University of Chicago Pritzker School of Molecular Engineering (UChicago PME) Prof. Andrew Cleland is thinking big, demonstrating high-fidelity entanglement between two acoustic wave resonators.

The paper is published in Nature Communications.

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In a major milestone for particle physics, scientists at CERN’s Large Hadron Collider (LHC) have successfully observed top quarks—one of the most elusive and short-lived fundamental particles—being produced in a laboratory setting. This historic discovery sheds light on the nature of matter and offers new insights into the early Universe, marking a turning point in our understanding of subatomic particles.

Quarks are the fundamental building blocks of protons and neutrons, which in turn make up the atoms forming all matter in the Universe. There are six known types of quarks: up, down, charm, strange, top, and bottom. Among these, the top quark stands out due to its heavy mass and extreme instability.

Unlike protons or neutrons, which persist indefinitely under normal conditions, the top quark decays almost instantly, with a lifetime of just 5×10^−25 seconds. This fleeting existence has made direct observation challenging, making the latest results from the LHC a remarkable breakthrough in experimental physics.

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Scientists in Japan have now developed a groundbreaking spintronic device that allows for electrical control of magnetic states, drastically reducing power consumption. This breakthrough could revolutionize AI hardware by making chips far more energy-efficient, mirroring the way neural networks function.

Spintronic Devices: A Game-Changer for AI Hardware

AI is rapidly transforming industries, but as these technologies evolve, so does their demand for power. To sustain further advancements, AI chips must become more energy efficient.

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A research team led by Wang Guozhong from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel method to precisely control the size of nickel (Ni) particles in catalysts, improving their performance in hydrogenation reactions.

The findings, published in Advanced Functional Materials, offer new insights into catalyst design for .

Catalysts play a crucial role in accelerating without being consumed, and the size of metal particles within them is a key factor influencing their performance.

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A new study published in Scientific Reports simulates particle creation in an expanding universe using IBM quantum computers, demonstrating the digital quantum simulation of quantum field theory for curved spacetime (QFTCS).

While attempts to create a complete quantum theory of gravity have been unsuccessful, there is another approach to exploring and explaining cosmological events.

QFTCS maintains spacetime as a classical background described by general relativity, while treating the matter and force fields within it quantum mechanically. This allows physicists to study in “curved spacetime” without needing a complete theory of quantum gravity.

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Phase transitions, shifts between different states of matter, are widely explored physical phenomena. So far, these transitions have primarily been studied in three-dimensional (3D) and two-dimensional (2D) systems, yet theories suggest that they could also occur in some one-dimensional (1D) systems.

Researchers at the Duke Quantum Center and the University of Maryland recently reported the first observation of a finite-energy phase transition in a 1D chain of atoms simulated on a . Their paper, published in Nature Physics, introduces a promising approach to realizing finite-energy states in quantum simulation platforms, which opens new possibilities for the study of phase transitions in 1D systems.

The recent study is a that combined the work of theoretical physicists at the University of Maryland with that of at the Duke Quantum Center, where the was placed and where the experiments were carried out.

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When humans kick swim through water, vortices form around their legs, generating the force that propels them forward. However, the mechanisms underlying variations in the structure of these vortices with swimming speed remain unclear.

In a new study published in Experiments in Fluids, researchers analyzed swimmer movement using an optical motion capture system and investigated vortex structure changes with varying speeds. They employed to visualize water flow dynamics.

Their results revealed that during underwater undulatory swimming, the vortex structure in the down-kick-to-up-kick transition phase changed as swimming speed increased. Specifically, with rising swimming speed, the direction of the jet flow between the two around the foot shifted to a more vertically downward orientation, a shift hypothesized to enhance forward propulsion during up-kicking.

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