Argonne National Laboratory Unveils DONUT Tool to Accelerate Real-Time Analysis of X-ray Nanodiffraction Data
Researchers at the U.S. Department of Energy's Argonne National Laboratory have developed a new machine learning tool called DONUT to accelerate X-ray data analysis in experiments at the Advanced Photon Source (APS). The tool can process complex images generated by scanning X-ray nanodiffraction microscopy (SXDM) in real time during experiments, helping researchers more quickly determine internal structural changes in materials. DONUT stands for "Nanobeam Optical Diffraction based on Unsupervised Training," a physics-aware neural network. Its key feature is combining artificial intelligence methods with physical models of focused X-ray beam interactions with materials, allowing it to learn directly from experimental data without relying on pre-labeled training...
2026-08-17
