AI Helps Scientists Quantify Irradiation Effects
Novel Convolutional Neural Network combined with advanced microscopy offers a path to automated and reliable radiation defect analysis.
Novel Convolutional Neural Network combined with advanced microscopy offers a path to automated and reliable radiation defect analysis.
New experiments demonstrate the correlation of natural radiation, unpaired electrons, and decoherence in superconducting qubit devices.
A technique that suppresses damaging instabilities also improves the exhaust of helium ‘ash’ in the DIII-D tokamak, improving conditions for fusion.
Novel Convolutional Neural Network combined with advanced microscopy offers a path to automated and reliable radiation defect analysis.
A novel paradigm for pushing energy in a particle accelerator method could dramatically shrink future accelerators.
Controlling the knotting of molecular chains offers new ties from polymer fluids to industrial applications.
Scientists find the radioactive nucleus selenium-72 is football-shaped, answering a longstanding question about the nuclear shape of selenium isotopes.
Machine learning-based algorithm characterizes materials’ microstructure in 3D and real time.
Incorporating sterols in the outer membrane of Yarrowia lipolytica makes it significantly more tolerant of ionic liquids.
Lipid-based devices mimic brain-like processing
New approach yields fast, accurate model of how small organic molecules move in chemical processes.
SEER, a new method to rapidly search for proteins involved in rearranging DNA molecules, increases genome editing efficiency.