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

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

The approach could advance our understanding of fundamental forces under extreme conditions with applications from astrophysics to fusion research.

First direct look at how atoms move when a ring-shaped molecule breaks apart could boost our understanding of fundamental processes of life.

A biomedical breakthrough reveals never-before-seen details of the human body’s cellular switchboard that regulates sensory and hormonal responses.

Extraordinarily precise measurements -- within millionths of a billionth of a second and a billionth of a hair's breadth -- show this ‘electron-phonon coupling’...

Understanding nature’s process could inform the next generation of artificial photosynthetic systems that produce clean and renewable energy from sunlight and water.

SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime...

The ultrafast, ultrabright X-ray pulses of the Linac Coherent Light Source (LCLS) have enabled unprecedented views of a catalyst in action, an important step...

Physicist Tor Raubenheimer explores the world by climbing rocks and designing particle accelerators.

Three physicists talk about how they got started, their work at SLAC and what they would say to others considering a career in STEM.

The goal: develop plasma technologies that could shrink future accelerators up to 1,000 times, potentially paving the way for next-generation particle colliders and powerful...