A research team led by Professor Taesung Kim from the School of Mechanical Engineering at Sungkyunkwan University has developed hafnium oxide-based ferroelectric transistor arrays and successfully demonstrated their application in next-generation artificial intelligence (AI) hardware.

Based on a large number of experimental results, the reason why small-sized Goss grains can engulf surrounding large-sized grains and eventually grow abnormally was analyzed using the enhanced elastic anisotropy of ferrite at high temperatures as well as the significant molar volume difference between ferrite and inhibitors. This study entitled “Secondary recrystallization behaviors and the formation mechanism of strong Goss textures of oriented electrical steels” is published online by Frontiers of Materials Science in 2026.

A Mendelian randomization study reveals PCSK9 inhibitors may reduce low back pain (LBP) risk, while HMGCR and NPC1L1 inhibitors show no significant association, providing genetic evidence for lipid-lowering drug safety and new insights into PCSK9 pleiotropy.

Researchers at the University of Jyväskylä (Finland) have developed a new class of synthetic molecules that can capture sulfate, a widespread industrial and environmental contaminant, with unprecedented efficiency in water. The study demonstrates that entangled molecular structures, long considered mainly chemical curiosities, can be deliberately engineered for real-world applications, including water purification, chemical sensing, and environmental monitoring.

A brain-inspired hardware platform could lead to the development of compact, low-power AI hardware. By mimicking how the brain processes information, the platform improved the speed, accuracy and energy efficiency of simulated tasks such as spoken-digit recognition and early seizure detection.