NEWS RELEASES

UCF researchers and collaborators experimentally identified signatures of altermagnetism in a layered material. The emerging form of magnetism can avoid disruptive magnetic fields while offering properties that could enable thenext-generation computing.

The findings, published in Nature Communications, could help scientists develop faster, smaller and more energy-efficient electronic and spintronic devices for next-generation computing and data storage.

Thousands of rapidly evolving aphid proteins initially resisted both conventional sequence comparisons and AlphaFold2. By sequencing closely related aphid species and supplying the missing evolutionary context, researchers uncovered a shared structural blueprint across approximately 2,400 proteins and established a method that may help scientists study other fast-evolving proteins involved in immunity, host-parasite interactions, and agriculture.

A research team led by faculty at the Duke Quantum Center (DQC) has observed string-breaking dynamics related to particle-antiparticle formation on a quantum simulator, one of the first in the quantum-physics field.

Oregon State University scientists have patented a better and more eco-friendly process for separating two metals that are critical in their pure forms for the semiconductor and atomic energy industries.

UCLA helped launch a complementary approach to computing in which richly connected, self-organized networks of nanowires or nanoparticles act as hardware-based neural networks.

Inspired by the brain, this approach is well-suited for processing complex data quickly and energy-efficiently.

A forward-looking article in Nature Reviews Physics explores these self-organized networks and their potential to complement cloud computing by handling sensor data locally in applications such as smart devices, autonomous vehicles, industrial robots and satellites.