Bringing ultrafast physics to structural biology has revealed the coordinated dance of molecules in unprecedented clarity, which could aid in the design of new light-responsive materials.

The facility is now one step away from releasing an unprecedented stream of ultra-bright X-rays.

The long – but not too long – cavity would ping-pong X-ray pulses inside of a particle accelerator facility to help capture nature’s fastest movements.

After decades of effort, scientists have finally seen the process by which nature creates the oxygen we breathe using SLAC’s X-ray laser.

The algorithm pairs machine-learning techniques with classical beam physics equations to avoid massive data crunching.

By tinkering and troubleshooting, Aalayah Spencer helps turn researchers’ ideas into state-of-the-art science experiments.

Experiments visualize how 2D perovskite structures change when excited.

Two GEM Fellows reflect on their summer internships at SLAC and share their thoughts on representation and mentorship.

They saw how the material finds a path to contorting and flexing to avoid being irreversibly crushed.

SLAC works with two small businesses to make its ACE3P software easier to use in supercomputer simulations for optimizing the shapes of accelerator structures.

Knowing a magnet’s past will allow scientists to customize particle beams more precisely in the future. As accelerators stretch for higher levels of performance, understanding subtle effects, such as those introduced by magnetic history, is becoming more critical.

Edelen draws on machine learning to fine tune particle accelerators, while Kurinsky develops dark matter detectors informed by quantum information science.