Public lecture presented by Giacomo Coslovich

Public lecture presented by Auralee Edelen

Public lecture presented by Diana Gamzina

Public lecture presented by Gregory Loew

Public lecture presented by Christopher McGuinness

SLAC’s Matt Garrett and Susan Simpkins talk about tech transfer that brings innovations from the national lab to the people, including advances for medical...

The facility, LCLS-II, will soon sharpen our view of how nature works on ultrasmall, ultrafast scales, impacting everything from quantum devices to clean energy.

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...

Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.

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...

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

Wan-Lin Hu’s job is to improve the way people and artificial intelligence collaborate to run SLAC’s complex machines.