BESSY II: Heterostructures for Spintronics
Spintronic devices work with spin textures caused by quantum-physical interactions. A Spanish-German collaboration has now studied graphene-cobalt-iridium heterostructures at BESSY II. The results show ...
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Hereon in New Zealand
Researchers from the Helmholtz-Zentrum Hereon from Helmholtz Information have traveled to New Zealand to take part in the second “New Zealand Hydrogen Symposium” in ...
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Lipid Fibrils: A New Building Block in Understanding Alzheimer’s
Lipids play a crucial role in the development of Alzheimer’s disease, but the details of this process were previously unknown. A team of scientists ...
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Doubly Sustainable Quantum Computers
In future, the use of quantum computers could make a significant contribution to promoting greater sustainability in global developments. This was shown in a ...
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New Embed2Scale Project: Earth Observation and Weather Data Federation with AI Embeddings
On January 15, 2024, the kickoff meeting of the EU project Embed2Scale took place at the European Union Agency for the Space Programme (EUSPA) ...
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Metals for the future
Components for cars and airplanes should be even lighter and more robust in the future – to save fuel and reduce CO2 emissions. This ...
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Helmholtz Information wishes you happy holidays and a Happy New Year
A year filled with dynamism, innovation, and inspiring moments is drawing to a close. It’s the perfect time to look back and, most importantly, ...
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Molybdenene – the “Metallic” Relative of Graphene
Two-dimensional materials like graphene show fascinating properties such as superconductivity, extraordinary strength and exotic quantum phenomena. Scientists at Forschungszentrum Jülich from the Helmholtz Research ...
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David DiVincenzo Elected as Member of the US National Academy of Sciences
The quantum pioneer David DiVincenzo from the Helmholtz Research Division Information has been elected to the National Academy of Sciences of the United States. ...
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New software based on Artificial Intelligence helps to interpret complex data
Experimental data is often not only highly dimensional, but also noisy and full of artefacts. This makes it difficult to interpret the data. Now ...