Nanowerk May 31, 2018
An international team of researchers (USA – Stony Brook University, Brookhaven National Laboratory, Latvia) has developed a tool to extract “hidden” signatures of an unknown structure from measurements made by existing tools. The network training is similar to how machine learning is used in facial-recognition technology. The technique is useful for studying the dynamics of phase changes, and to monitor the arrangements of nanoparticles in catalysts and other materials… read more. TECHNICAL ARTICLE
Deciphering the changes in the 3-D structure of iron (center) upon heating, from top. Image: Brookhaven National Laboratory