A research team at the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, has used scanning nitrogen-vacancy microscopy and vector magnetic field reconstruction to demonstrate at the nanoscale that zigzag graphene nanoribbons embedded in hexagonal boron nitride exhibit strong perpendicular magnetic anisotropy. The work was published in the Journal of Functional Materials and Devices.

Scientists use light-driven chemistry to synthesize a valuable pharmaceutical building block and generate trifluoromethyl radicals directly from inexpensive, low-toxicity fluoroform.

Researchers have developed an innovative imaging technique to visualize the transition of single cells into multicellular organisms in new detail.

Hokkaido Summer Institute’s latest course explores science communication across countries and cultures.

Extended reality (XR) aims for "immersion," requiring displays to simultaneously deliver a wide field of view (FOV) and true 3D imagery free of vergence-accommodation conflict (VAC). Researchers in China have reported a near-eye light-field display architecture based on a heterogeneous metalens array. By integrating lens and spatially heterogeneous prism phase designs with nanoimprint technology, the array overcomes the aberration-induced FOV limit of conventional microlens arrays, providing a hardware path for next-generation immersive XR displays.

Australian nanomaterials experts have engineered powder-like particles that can turn water-based paint into self-repairing corrosion shields with the potential to slow rusting by more than 600 times compared with existing high-performance coatings. 

In the International Journal of Extreme Manufacturing, researchers have built a flexible and ultra-fast artificial synapse printed entirely from room-temperature liquid inks that dissolves on demand in six minutes. The work shows that high-performance and brain-inspired hardware does not require extreme vacuum chambers, rare metals, or permanent electronic waste.

Researchers at Saitama University have developed a two-level deep learning framework that can identify not only where corrosion appears on steel bridges but also what type of visual corrosion pattern is present. By combining corrosion-coverage mapping with classification into four inspection-oriented visual categories, the framework could help bridge inspectors obtain more structured information from field images and better target follow-up inspections and measurements.

- A joint research team from POSTECH and CHA University develops a culture membrane that closely mimics native intestinal tissue using components extracted from porcine colon