SLAC and Stanford researchers secure support for two projects that share one goal: to reduce the side effects of radiation therapy by vastly shrinking...
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
Encapsulating precious-metal catalysts in a web-like alumina framework could reduce the amount needed in catalytic converters – and our dependency on these scarce metals.
Q-NEXT will tackle next-generation quantum science challenges through a public-private partnership, ensuring U.S. leadership in an economically crucial arena.
En route to record-breaking X-rays, SLAC’s Cryogenic team built a helium-refrigeration plant that lowers the LCLS-II accelerator to superconducting temperatures.
Scientists developed a groundbreaking technology that allows them to see sound waves and microscopic defects inside crystals, promising insights that connect ultrafast atomic motion...