News Article.

Sakurai, Kenji

A joint research team from the Technical University of Denmark, Lund University in Sweden, and the European Synchrotron Radiation Facility (ESRF) has developed a non-destructive method for mapping the three-dimensional stress distribution inside plastically deformed metallic materials using x-rays. They used microbeam x-rays to obtain diffraction data from different points on the sample, allowing them to separate the stress distributions of different grains. Another research group at the NSLS-II synchrotron radiation facility in the United States has improved the image quality of chemical state imaging by XAFS using machine learning. They used deep neural networks to process the data and overcome statistical variations and low counts. Additionally, researchers at the Paul Scherrer Institute in Switzerland achieved a spatial resolution of 4 nm in x-ray tomography using burst ptychography and tomographic back-propagation reconstruction. These advancements in x-ray techniques have significant implications for various fields, including materials science and medical imaging.

ARTIFICIAL neural networks; OPTICAL elements; SYNCHROTRON radiation; MATERIALS science; OPTICAL devices; X-ray imaging; FREE electron lasers

XRS: X-ray Spectrometry, 2024, Vol 53, Issue 6, p540

0049-8246

Academic Journal

10.1002/xrs.3457