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Researchers at SLAC are developing experimental techniques to evaluate new candidates for inertial fusion energy targets. 

The SLAC team is developing digital twins – powered by AI and high-performance computing – to help quickly shape high-quality particle beams for the lab’s X-ray and ultrafast facilities.

A new machine learning algorithm rapidly reconstructs 3D images from X-ray data. 

In the largest dataset ever collected by a dark matter detector, LUX-ZEPLIN's latest results provide the strongest constraints on low-mass WIMPs and detect boron-8 solar neutrinos.

An upgrade to SLAC’s renowned Linac Coherent Light Source will allow it to deliver X-ray laser beams that are 10,000 times brighter with pulses that arrive up to a million times per second.

Experiments running at these higher pulse rates will allow scientists to capture ultrafast processes with greater precision, collect data more efficiently and explore phenomena that were previously out of reach.

Vera C. Rubin Observatory will conduct the 10-year Legacy Survey of Space and Time (LSST), which will collect 60 petabytes of data to address some of the most pressing questions about the structure and evolution of the universe and the...

Researchers taking the first-ever direct measurement of atom temperature in extremely hot materials inadvertently disproved a decades-old theory and upended our understanding of superheating. 

Water is all around us, yet its surface layer is surprisingly hard to study. Experiments at SLAC’s X-ray laser are bringing it into focus.