Pusan National University researchers uncover scalable method for ultrahigh-resolution quantum dot displays
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Jan-2026 02:11 ET (27-Jan-2026 07:11 GMT/UTC)
Colloidal quantum dot (QD) light-emitting diodes have great potential in display applications. However, their commercialization remains a challenge due to the difficulty in achieving high-resolution patterning of QDs without degrading their optical properties. To address this, researchers have developed a nondestructive method for ultrahigh-resolution QD patterning. By blending QDs with a photocrosslinkable polymer, the approach preserves their optical properties and boosts efficiency and lifetime, paving the way for development of next-generation display technologies.
Electropulsing treatment rapidly heats metallic materials using high-density electrical pulses. Scientists at Pusan National University have now isolated its thermal and athermal effects in magnesium alloys using a novel T-type specimen. Their findings show that athermal effects significantly accelerate strain-induced boundary migration and grain growth—revealing how electropulsing can act as a fast, energy-efficient next-generation processing technology for lightweight metals.
In a study published in Nature Communications, researchers from the University of York synthesised over 700 complex metal compounds in just one week. This rapid screening process identified a promising new iridium-based antibiotic candidate that kills bacteria while remaining non-toxic to human cells.
Researchers have developed a new way to decipher the language of the brain by listening to and recording the fastest and faintest communications signals of neurons. This allows scientists to watch neurons talk to each other in real time. Until now, detecting these incoming signals in living brain tissue was nearly impossible; but now, researchers can hear the entire conversation rather than fragments of it.
A Perspective in National Science Review outlines a new paradigm for fully automated processor chip design. By combining domain-specific large language models, automatic correctness repair and performance-driven search, the framework aims to automatically generate reliable, high-performance processors tailored to diverse applications.