For more than a century, condensed matter physics has grappled with one of its greatest unsolved challenges: how to build ...

Physicist who won a Nobel prize for his work on superfluids and superconductors at Sussex University in the 1970s ...

Abstract: In recent years, deep learning’s use in medical imaging has grown exponentially. However, one of the biggest problems with training deep learning models is the unavailability of large ...

Strong magnets tend to be large and power-hungry, but a new design has produced a powerful magnet that fits in the palm of your hand, making it more practical and affordable ...

Infleqtion (NYSE: INFQ), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, announced it has been selected to receive $3.9M in funding from the U.S.

A team of more than 30 physicists and materials scientists published a detailed strategy for reaching room-temperature superconductivity, identifying the most promising material families, the biggest ...

The search for materials that can conduct electricity at room temperature without losing energy is one of the greatest and most consequential challenges of modern physics: loss-free power transmission ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy. Their research, published in the ...

A rare class of materials known as “triplet superconductors” could transform the future of computing. By enabling the lossless transport of both electrical charge and electron spin, these materials ...

Abstract: High-temperature superconductor (HTS) cables have a broad prospect in power transmission applications due to their low loss and high current capacity. The stacked-tape cable is a type of HTS ...