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Magnetic ‘super lenses’ open new window on high-temperature superconductors

An international research team, including scientists from the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), has achieved a methodological breakthrough in the study of superhydrides, a promising class of superconductors. For the first time, the team succeeded in analyzing lanthanum superhydrides under extreme pressure using nuclear magnetic resonance spectroscopy.

The research is published in the journal Advanced Science.

Superconductors are characterized by the fact that their electrical resistance vanishes below a material-specific critical temperature, allowing them to conduct electricity without loss. For most known materials, this transition temperature is below about 140 Kelvin (minus 133 degrees Celsius), which requires complex cooling technology for practical applications. Consequently, researchers are actively searching for materials that exhibit superconductivity at significantly higher temperatures.

A new way to read the universe could sharpen understanding of cosmic expansion and dark energy

An international team led by researchers at the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) has developed a new method that could significantly improve our understanding of the expansion of the universe and the nature of dark energy.

The study, published in Nature Astronomy, presents a powerful framework called CIGaRS that allows scientists to extract more information from exploding stars known as Type Ia supernovae, primarily through imaging rather than costly spectroscopic observations. The results pave the way for making the most of the vast amount of data expected from the next generation of astronomical surveys, especially from the Vera C. Rubin Observatory.

A persistent quantum computing error finally explained

Scientists have discovered the cause of a persistent glitch that continues to disrupt superconducting quantum computers, even when they have built-in defenses. For all their advanced hardware, superconducting quantum computers are vulnerable to errors caused by ionizing radiation from space or the environment. Radiation particles interfere with the chip substrate (the silicon base the processor is built on), which leads to the creation of rogue particles (quasiparticles) that disrupt the qubits, the basic units of quantum computers.

To protect against this, scientists developed a technique called gap engineering. This involves creating an energy barrier in the superconducting material of the qubits, making it harder for these particles to reach sensitive parts of the device.

However, it is not foolproof. Even with this defense, radiation can still cause sudden widespread errors affecting many qubits at once (error bursts). But it was not clear why.

Hourglass nanographenes unlock strong, robust multi-spin entanglement

Researchers from the National University of Singapore (NUS) and collaborators have developed a predictive design strategy for creating graphene-like molecules with multiple interacting spins and enhanced resilience to magnetic perturbations, opening new avenues for molecular-scale quantum information technologies and next-generation spintronics.

The research team was led by Professor Lu Jiong from the NUS Department of Chemistry and the NUS Institute for Functional Intelligent Materials, together with Professor Wu Jishan from the NUS Department of Chemistry, and international collaborators, including key contributor Professor Pavel Jelínek from the Czech Academy of Sciences in Prague.

Magnetic nanographenes, which are molecules composed of fused benzene rings, are of growing interest for quantum technologies because they can host unpaired electrons, or spins, that may be used to store and process information. Unlike conventional magnetic materials based on metal atoms, these carbon-based systems offer chemical versatility and long spin coherence times. However, engineering a single molecule that contains multiple strongly coupled spins in a stable and controlled manner remains a major challenge.

Silicon oscillators solve computer problems that would take thousands of years using semiconductors

In the era of big data and artificial intelligence, a new approach has emerged for solving combinatorial optimization problems, which involves finding the most efficient solution among many possible options and can otherwise take thousands of years to compute.

A KAIST research team has developed computational hardware that can be implemented entirely using existing silicon processes, enabling deployment on existing fabrication lines without additional facilities. This is expected to enable faster and more accurate decision-making across various industries, including logistics, finance, and semiconductor design.

The research is published in Science Advances.

Twisting atom-thin materials reveals new way to save computing energy

A recent study shows a new and potentially more energy-efficient way for information to be transmitted inside electronic systems, including computers and phones—without relying on electric currents or external magnetic fields.

In today’s electronics, information is transmitted by moving electrons through circuits, where ones and zeros are represented by high or low electrical signals. While this approach has enabled modern computing, the movement of electrical charge inevitably generates heat, leading to energy loss and limiting how much devices can be miniaturized and improved.

In the new study, published in Nano Letters, researchers at KTH Royal Institute of Technology and international collaborators demonstrate that simply twisting two layers of certain atom-thin magnetic materials allows magnetic signals to carry information instead of relying on electrical currents to do the work.

Sound waves create mist that can act like ‘plant sunscreen’

RMIT University researchers have developed a new way to coat fragile surfaces, including living plant leaves, using high‑frequency sound waves to create a fine mist that can act like a plant sunscreen.

The approach tackles a long‑standing challenge in materials science: many promising coatings require high temperatures or harsh processing, making them unsuitable for delicate surfaces such as living tissue, soft plastics or emerging electronic materials.

The research paper, “Ambient one‑step synthesis and direct coating of highly crystalline covalent organic frameworks on arbitrary surfaces,” is published in Science Advances.

Quantum geometry applied to light-based systems expands toolkit for topological photonics

Quantum geometry describes quantum states in systems with changing system parameters, such as an electron spinning in a magnetic field whose direction is slowly changing. The state of the electron evolves, and this change is quantified by what is known as the quantum geometric distance.

With the help of this abstract geometric description, it is possible, for example, to explain superconductivity—defined as the resistance-free conduction of current—in exotic quantum materials. Another example can be found in quantum metrology: by applying quantum geometry, fundamental limits on measurement accuracy can be determined.

Scientists program materials just by spinning them

There is something universally appealing about the slap bracelet, and the way a simple tap causes it to switch between a straight shape and a curled one. What you probably didn’t know is that a slap bracelet’s satisfying snap is the same principle behind bistable structures. These can toggle between two stable positions (one representing 0 and the other 1) to store data directly within their physical forms as mechanical bits (m-bits).

Because of their exciting potential for efficient control of robotic and other mechanical systems, researchers have been engineering special materials with programmable structures (programmable metamaterials) for years. But until now, actual programming of such systems has been a major challenge: mechanical bits must typically be controlled individually, which is extremely cumbersome and time-consuming.

Now, researchers in the Flexible Structures Laboratory (fleXLab) in EPFL’s School of Engineering, the Dutch research institute AMOLF, and Leiden University have found a way to program metamaterials globally with a surprisingly simple solution: rotation. By tuning a spinning platform’s speed, direction, and acceleration, the researchers can harness forces arising in a rotating system—such as centrifugal and Euler forces—to make elastic beams snap back and forth, creating a simple new way to “write” multiple mechanical bits at once.

Researchers discover a new pathway to building energy-efficient computing chips

The growing popularity of electronic devices—from fitness trackers and laptops to smartphones—is driving demand for more energy-efficient computing chips. Now, researchers have found a way to change the electronic properties of a common semiconductor material, potentially laying the foundation for faster, lower-power data storage and processing.

In a study published in Science, a UC Berkeley-led team of researchers discovered they can transform titanium dioxide (TiO₂) into a ferroelectric material by reducing its thickness to less than 3 nanometers (nm), roughly the diameter of a single strand of human DNA. These findings, according to the researchers, could open a pathway toward ultra-scaled, energy-efficient electronic devices.

Ferroelectric materials, with their ability to switch electric polarizations, have a long history in the semiconductor industry. Today, many researchers believe that they may hold the key to enabling next-generation, energy-efficient nanoelectronics, including non-volatile memory, logic devices and emerging computing technologies.

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