NEWSROOM

Electronic order in quantum materials often emerges not uniformly, but through subtle and complex patterns that vary from place to place. One prominent example is the charge density wave (CDW), an ordered state in which electrons arrange themselves into periodic patterns at low temperatures. Although CDWs have been studied for decades, how their strength and spatial coherence evolve across a phase transition has remained largely inaccessible experimentally. Now, a team led by

ORNL scientists design a magnetic material as a stepping stone toward revealing new quantum phenomena.

This study addresses a longstanding challenge in flexible OLED technology, namely, the durability of its luminescence after repeated mechanical flexion. While the advances creating flexible light-emitting diodes have been substantial, progress has leveled off in the last decade due to limitations introduced by the transparent conductor layer, limiting their stretchability.

In a landmark achievement at the confluence of artificial intelligence and fundamental physics, a team of researchers from Tongji University, the Chinese university of Hong Kong and Nanyang Technological University has developed an AI algorithm capable of classifying complex topological phases of matter without relying on the mathematical tools that have limited human scientists for decades. This breakthrough, which tackles the notoriously difficult realm of non-Hermitian sys

Surprising signals can arise from the coupling of light particles.

Researchers at Lawrence Livermore National Laboratory (LLNL) have optimized and 3D-printed helix structures as optical materials for Terahertz (THz) frequencies, a potential way to address a technology gap for next-generation telecommunications, non-destructive evaluation, chemical/biological sensing and more. The printed microscale helixes reliably create circularly polarized beams in the THz range and, when arranged in patterned arrays, can function as a new type of Quick R