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.

During her fellowship she will continue research that aims to deepen our understanding of quantum materials.

Headshot of Judy Ji

Researchers have released 10 terabytes of data from the OpenUniverse project, which has created a detailed simulation of the universe astrophysicists can use to help calibrate expectations from two major new telescopes.

Stars and galaxies on a black background.

Researchers figured out how to spray and freeze a cell sample in its natural state in milliseconds, helping them capture basic biological processes in unprecedented detail.

These are two images of the same cell at different times during an experiment.

The program was among those honored with a 2024 Stanford President’s Award for Excellence Through Diversity.

A group photo of SAGE Journey team members.

Supported by SLAC's catalysis group Co-ACCESS, researchers discover new ways to boost the performance of catalysts that turn carbon dioxide into methanol. 

Aerial photo of SSRL

The largest camera ever built for astrophysics has completed the journey to Cerro Pachón in Chile, where it will soon help unlock the Universe’s mysteries.

A semi truck traveling a gravel road approaches two large telescope facilities.

Researchers developed new methods that produce intense attosecond pulses and pulse pairs to gain insights into the fastest motions inside atoms and molecules. It could lead to advancements in fields ranging from chemistry to materials science.


Two determined fellows share their thoughts on representation, mentorship and staying true to themselves in STEM.

Annette Mendoza and Damion Tingle
News Feature · VIA Symmetry Magazine

Tomorrow’s physics test: machine learning

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it?

Illustration: A student scientist embroiders their graduation cap with atom

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. 

Illustration of a scientist cutting a piece of bias tape with scissors