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IMAGE: a, Input coupling of the 1.9 μm wavelength laser pulses with 100 fs duration within helium gas at atmospheric pressure. b, The ARHCF is differentially pumped with the output facet. view more
Credit: by Gebhardt, M., Heuermann, T., Klas, R. et al.
Bright, coherent soft X-ray radiation (SXR) is used in many scientific applications such as advanced absorption spectroscopy or lens-less imaging, and in fundamental research e.g. to produce extremely short isolated optical pulses. Therefore, the generation, control, and detection of this type of short-wavelength light is highly important in fields like fundamental atomic physics, solid-state physics, the semiconductor industry, material science and biology.
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IMAGE: To realize a hydrogen fuel-based future, it is necessary to be able to produce it efficiently in an eco-friendly manner view more
Credit: Incheon National University
To combat climate change, shifting from fossil fuels to clean and sustainable energy sources is imperative. A popular candidate in this regard is hydrogen, an eco-friendly fuel that produces only water when used. However, the efficient methods of hydrogen production are usually not eco-friendly. The eco-friendly alternative of splitting water with sunlight to produce hydrogen is inefficient and suffers from low stability of the photocatalyst (material that facilitates chemical reactions by absorbing light). How does one address the issue of developing a stable and efficient photocatalyst?
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IMAGE: Graphene Flagship researchers have developed a new measurement standard for the analysis of graphene and layered materials that could accelerate production and optimise device fabrication. view more
Credit: Graphene Flagship
X-ray scans revolutionised medical treatments by allowing us to see inside humans without surgery. Similarly, terahertz spectroscopy penetrates graphene films allowing scientists to make detailed maps of their electrical quality, without damaging or contaminating the material. The Graphene Flagship brought together researchers from academia and industry to develop and mature this analytical technique, and now a novel measurement tool for graphene characterisation is ready.
The effort was possible thanks to the collaborative environment enabled by the Graphene Flagship European consortium, with participation by scientists from Graphene Flagship partners DTU, Denmark, IIT, Italy, Aalto University, Finland, AIXTRON, UK, imec, Belgium
A revolutionary machine-learning (ML) approach to simulate the motions of atoms in materials such as aluminum is described in this week s Nature Communications journal.
Global wind power capacity has increased more than fivefold over the past decade, leading to larger turbines, but low-level jets are one cause for concern. The effects of these strong, energetic wind flows depend on how high the wind flows are in relation to the turbines. In the