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Scientists from the RIKEN Center for Emergent Matter Science (CEMS) and collaborators have discovered a new way to control superconductivity—an essential phenomenon for developing more energy-efficient technologies and quantum computing—by simply twisting atomically thin layers within a layered device.

By adjusting the twist angle, they were able to finely tune the “superconducting gap,” which plays a key role in the behavior of these materials. The research is published in Nature Physics.

The superconducting gap is the energy threshold required to break apart Cooper pairs—bound electron pairs that enable superconductivity at low temperatures. Having a larger gap allows superconductivity to persist at higher, more accessible temperatures, and tuning the gap is also important for optimizing Cooper pair behavior at the nanoscale, contributing to the high functionality of quantum devices.

Complex materials such as organic semiconductors or the microporous metal-organic frameworks known as MOFs are already being used for numerous applications such as OLED displays, solar cells, gas storage and water extraction. Nevertheless, they still harbor a few secrets. One of these has so far been a detailed understanding of how they transport thermal energy.

Egbert Zojer’s research team at the Institute of Solid State Physics at Graz University of Technology (TU Graz), in collaboration with colleagues from TU Vienna and the University of Cambridge, has now cracked this secret using the example of organic semiconductors, opening up new perspectives for the development of innovative materials with customized thermal properties.

The team has published its findings in npj Computational Materials.

University of Queensland researchers have made a breakthrough in muonic atom research, clearing the way for new nuclear physics experiments.

A team at the UQ School of Mathematics and Physics has combined theory and experiments to show that nuclear polarization does not limit studies of muonic atoms. The research was published in Physical Review Letters.

Co-author Dr. Odile Smits said the finding provides a clear path for using muonic atoms to better understand the magnetic structure of the .

Using data from nearly 15 million galaxies and quasars, the Dark Energy Spectroscopic Instrument (DESI) has created the most detailed 3D map of the universe ever made. A new analysis combining DESI’s observations with other major cosmic datasets suggests that dark energy, the mysterious force behind

Scientists at Princeton University have made a groundbreaking discovery in quantum materials, revealing that electron energy levels in certain systems follow a fractal pattern known as Hofstadter’s butterfly. This phenomenon was first theorized in 1976 but had never been directly observed in a re

A puzzling new type of radio signal – lasting seconds to minutes – has been linked to a binary star system featuring a white dwarf and a red dwarf. Scientists suspect these signals arise from the white dwarf’s intense magnetic field or its interaction with its companion. This discovery suggests t

A new imaging technique is helping ultra-powerful MRI scanners detect tiny differences in the brains of patients with treatment-resistant epilepsy. In a groundbreaking study, doctors at Addenbrooke’s Hospital in Cambridge used this approach to identify hidden brain lesions, allowing them to offer patients surgery that could cure their condition.

7T MRI scanners, named for their use of a 7 Tesla magnetic field, which is more than twice as strong as the 3T scanners commonly used, have previously struggled with signal blackspots in key areas of the brain. However, researchers from Cambridge and Paris have developed a technique that overcomes this issue, as detailed in a study published today (March 21) in Epilepsia.

The challenge of treating focal epilepsy.

Imagine fiber optic cables acting as vast sensor networks, detecting vibrations for everything from earthquake warnings to railway monitoring. The challenge? Processing the enormous data flow in real-time. Traditional electronic computing struggles, but researchers have merged machine learning wi

A new fMRI study reveals that babies as young as 12 months can encode memories, contradicting theories that memory formation is impossible in infancy. Instead, the inability to recall early life may stem from retrieval failures rather than memory loss. Challenging Assumptions About Infant Memory