The annual conference for scientists who conduct research at SLAC’s light sources engaged more than 1,700 researchers in talks, workshops and discussions.

Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.

Using SLAC’s synchrotron, Summers improves fundamental knowledge of the role of copper in the brain and investigates treatments for Alzheimer’s disease.

Researchers demonstrate a new ability to drive and track electronic motion, which is crucial to understanding the role of electrons in chemical processes and how quantum coherence evolves on the shortest timescales.