News archive

Browse the full collection of SLAC press releases and news features and stay up to date on the latest scientific advancements at the laboratory.

A new study is a step forward in understanding why perovskite materials work so well in energy devices and potentially leads the way toward a theorized “hot” technology that would significantly improve the efficiency of today’s solar cells.

Scattered neutrons off perovskite material.

Revealed for the first time by a new X-ray laser technique, their surprisingly unruly response has profound implications for designing and controlling materials.

Illustration of laser light setting off vibrations in material

Two studies led by SLAC and Stanford capture electron 'sound waves' and identify a positive feedback loop that may boost superconducting temperatures.

Illustration of study that reveals how coordinated motions of atoms boost superconductivity

The initiative will give scientists more access to powerful lasers at universities and labs.

MEC LaserNet
News Feature · VIA Symmetry Magazine

The building boom

These projects, selected during the process to plan the future of US particle physics, are all set to come online within the next 10 years.

Illustration of various science experiments

An advisory committee is evaluating proposals for first experiments at SLAC’s future FACET-II accelerator facility.

FACET-II First Electrons

Switches like this one, discovered with SLAC’s ultrafast ‘electron camera’, could offer a new, simple path to storing data in next-generation devices.

Single Pulse Material Switch
News Feature · VIA Symmetry Magazine

Five mysteries the Standard Model can’t explain

Our best model of particle physics explains only about 5 percent of the universe.

Using a 5,000-mile network loop operated by ESnet, researchers at the Department of Energy's SLAC National Accelerator Laboratory (SLAC) recently transferred 1 petabyte in 29 hours, with encryption and checksumming, beating last year's record by 5 hours, an almost 15...

News Feature · VIA Symmetry Magazine

Studying the stars with machine learning

To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.

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