Search | SLAC National Accelerator Laboratory

Photograph

The nanoscale patterns of SLAC and Stanford’s accelerator on a chip gleam in rainbow colors prior to being assembled and cut into their final...

Photo of an array of accelerator chips on a disc

Photograph

FACET team.

Video

Public lecture presented by Gregory Loew

Video

Public lecture presented by Christopher McGuinness

Past Event

In this public lecture, longtime SLAC physicist Greg Loew will present a trip through SLAC's origins, highlighting its scientific achievements, and provide a glimpse...

Feature

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...

News Release

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.

News Brief

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...

A magnet on a test stand inside SLAC National Accelerator Laboratory.

Feature

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

Feature

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...

This cartoon figure shows how the cavity-based X-ray free electron laser works in general. The electron beam (blue) travels through an undulator (brown), which causes the beam to release X-ray pulses. These pulses bounce around a set of four mirrors, helping them become coherent, before they continue down the accelerator to experimental halls.

Feature

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

This is a representation of a particle beam traveling through an accelerator.

Feature

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

Array of accelerator chips on a disc

FACET

Big Machines and Big Science: 80 Years of Accelerators at Stanford

Particle Accelerator on a Chip

Big Machines and Big Science: 80 Years of Accelerators at Stanford

Q&A: From particle beams to cancer treatment – fundamental research that affects everyday life

SLAC’s superconducting X-ray laser reaches operating temperature colder than outer space

Researchers model accelerator magnets' history using machine learning approach

AI learns physics to optimize particle accelerator performance

Researchers show how to increase X-ray laser brightness and power using a crystal cavity and diamond mirrors

Researchers develop clever algorithm to improve our understanding of particle beams in accelerators

A day in the life of a human-in-the-loop engineer