A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data.
Materials & Radiation Effects
Augmented reality for testing nuclear components
A new lead on a 50-year-old radiation damage mystery
A U-M-led team of researchers developed the first atomic-level simulation that produced a mysterious defect.