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To invent a new tool for studying how chemicals react at interfaces, researchers shoot tiny jets of oil and water at each other and illuminate them.

A machine learning algorithm automatically extracts information to speed up – and extend – the study of materials with X-ray pulse pairs.

For five days in May, the ancient collided with the ultra-modern at the Stanford Linear Accelerator Center (SLAC), bringing brilliant, long-hidden ideas to light with brilliant X-ray light.

Teams at SLAC installed new experimental hutches with cutting-edge instruments that will harness the upgraded facility’s new capabilities and expand the breadth of research done at the facility.

The Secretary celebrated LCLS-II first light with 600 SLAC staff and collaborators Oct. 26.

Four engineers discuss their journeys to working at SLAC and counsel those following in their footsteps.

New research has implications for understanding Earth's evolution, interpreting unusual seismic signals and the study of exoplanets.

The research reveals the potential for machine learning in understanding the complex behavior of quantum materials.

An international team has uncovered details about the formation of DNA's building blocks, paving the way  for potential medical and therapeutic applications.

Researchers have found a new way to probe molecules and atoms with an X-ray laser, setting off cascading bursts of light that reveal precise details of what is going on inside, which could allow scientists to see details of chemical...

Petroglyphs are carved in a material called rock varnish, the origins of which have been debated for years. Now, scientists argue it’s the result of bacteria and an adaptation that protects them from the desert sun’s harsh rays.