Neural networks boost fusion research with rapid ion temperature and rotation velocity predictions
In fusion experiments, understanding the behavior of the plasma, especially the ion temperature and rotation velocity, is essential. These two parameters play a critical role in the stability and performance ...
Highly sensitive quantum sensors for medicine: First successful demonstration of a dual-media NV diamond laser system
Measuring tiny magnetic fields, such as those generated by brain waves, enables many new novel opportunities for medical diagnostics and treatment. The research team led by Dr. Jan Jeske at Fraunhofer ...
Nanoscale method boosts materials for advanced memory storage
Next-generation technologies, such as leading-edge memory storage solutions and brain-inspired neuromorphic computing systems, could touch nearly every aspect of our lives—from the gadgets we use daily ...
AI predicts optical properties to speed up the discovery of energy and quantum materials
Researchers from Tohoku University and the Massachusetts Institute of Technology (MIT) have unveiled a new AI tool for high-quality optical spectra with the same accuracy as quantum simulations, but working ...
Modeling system could enable future generations of self-sensing materials
Research that eliminates the guesswork in developing advanced 3D printed materials could help accelerate the development of new forms of "self-sensing" airplanes, robots, bridges and more.
Unlocking heat management with quantum thermal transistors
Scientists are finding ways to use quantum effects to create groundbreaking thermal devices that can help cool electronic systems. The quantum thermal transistor is one of the most exciting innovations ...
last updated on 8 Oct 18:22