Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.

It can help operators optimize the performance of X-ray lasers, electron microscopes, medical accelerators and other devices that depend on high-quality beams.

FACET-II will pave the way for a future generation of particle colliders and powerful light sources, opening avenues in high-energy physics, medicine, and materials, biological and energy science.

Institute of Electrical and Electronics Engineers recognizes his contributions to developing electron beams that power unique ‘electron cameras’ and could advance X-ray lasers.