LCLS-II

Exploring and manipulating the behavior of polar vortices in materials may lead to new technology for faster data transfer and storage.

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

This new understanding could aid the development of more efficient clean energy sources.

When upgrades to the X-ray laser at the Department of Energy’s SLAC National Accelerator Laboratory are complete, the powerful new machine will capture up to 1 terabyte of data per second; that’s a data rate equivalent to streaming about one...

At the Machine Shop, Pete Franco crafts beautiful, intricate and precise parts for the lab’s latest scientific tools.

The early-career award honors a promising leader in X-ray free-electron laser research.

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

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.

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

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

The ePix10k detector is ready to advance science at SLAC’s Linac Coherent Light Source X-ray laser and at facilities around the world.

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