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

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.

Marking the beginning of the LCLS-II era, the first phase of the major upgrade comes online.

A proposed device could expand the reach of X-ray lasers, opening new experimental avenues in biology, chemistry, materials science and physics.

Siegfried Glenzer's team and collaborators from Tel Aviv University are working on a method that could make proton accelerators 100 times smaller without giving up any of their power.

It combines human knowledge and expertise with the speed and efficiency of “smart” computer algorithms.

New research shows that when a bunch of electrons zooms through the middle of a ring-shaped laser beam, the bunch can wind up with higher quality and generate a brighter X-ray beam.

Researchers have squeezed a high-energy electron beam into tight bundles using terahertz radiation, a promising advance in watching the ultrafast world of atoms unfold.