X-ray science

Argonne, SLAC researchers designed a chip that compresses and processes detector data instantly, letting scientists analyze results and steer experiments as they happen.

By instigating atomic disorder in lithium-ion battery materials, researchers created more stable materials that don’t expand, contract and degrade like traditional materials do.

SLAC researchers and collaborators trained a neural network that can use ion momentum to work backward and predict the pre-blast geometry of a molecule.

The new method allows better studies of valence electrons key to materials’ properties and could help unlock novel photocatalysts, light-switchable superconductors and other applications of the future.  

Researchers reveal why trace amounts of alloy added to some catalysts keep them performing better over time. The study suggests models that could boost manufacturing.

The team developed a platform that uses powerful X-rays from the lab’s LCLS X-ray laser to resolve for the first time the evolution of instabilities in high-density plasmas. 

Salleo sees strength in the big picture and minute details of the people, tools and partnerships at SLAC.

Imaging at SLAC's synchrotron demonstrates the twisted structures’ exotic properties that could benefit the development of superconductors and quantum materials.

Surfing a plasma wave, electrons get an energy and brightness boost.

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.

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.