Ali Sundermier

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

This leap in capability will allow scientists to investigate quantum and chemical systems more directly than ever before.

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.

Their work uses machine learning to transform the way scientists tune particle accelerators for experiments and solve longstanding mysteries in astrophysics and cosmology.

The technique could improve the efficiency of data collection and pave the way for new kinds of experiments.

New research could offer insights into the formation of planets like Earth and inform the design of more resilient materials.