A research team led by Professor Boseok Kang of the SKKU Advanced Institute of Nanotechnology (SAINT), Department of Nano Engineering, and Department of Semiconductor Convergence Engineering has raised the doping efficiency of electrically conductive plastics (conducting polymers) to a world-class level by attaching specific molecules to them, and has for the first time elucidated the underlying operating mechanism.
As offshore wind, distributed generation and cross-border electricity exchange expand, modern grids must move power over longer distances while serving more varied local needs.
Electrochemical research often requires more than current, potential and time data alone. While a potentiostat provides essential control and measurement of the electrochemical experiment, it does not directly identify the gases or volatile species being produced during a reaction.
Inside some fusion energy systems, particles hotter than the core of the sun can become unruly in a few thousandths of a second, far faster than any human operator can react.
Semplor has introduced NANOS EBSD, a tabletop scanning electron microscope (SEM) with integrated Electron Backscatter Diffraction (EBSD) capability, bringing crystallographic analysis into a compact and intuitive SEM platform.
Semplor has launched ONYX, a new tabletop scanning electron microscope (SEM) designed to give laboratories greater flexibility when working with large or multiple samples and higher-throughput workflows.
Australian engineers have created a strong and lightweight titanium material that floats in water, even after severe damage, revealing a promising new material for marine infrastructure.
“No flying machine will ever fly from New York to Paris,” aviation pioneer Orville Wright once said. What even the visionary Wright brothers considered impossible is now a reality – thanks in part to new materials that make modern aircraft and engines possible in the first place.
A UK startup that has found a novel way to make advanced heat-resistant materials is targeting further expansion in the US with the launch of an office in Silicon Valley.
Researchers developed CoatingDet, a publicly available dataset containing 5,416 high-resolution images of wind turbine tower coatings captured under real manufacturing conditions, with annotations for critical defects and benign surface particles. Validation with YOLOv11n and RT-DETR showed the dataset can support reproducible deep learning-based inspection while highlighting the importance of lighting conditions and class imbalance for reliable deployment.
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