The microelectronics that power daily life and speed discoveries in science and technology are the focus of a bold new vision to make them more energy efficient and able to operate in extreme environments.

AI is playing a key role in helping SLAC researchers find new galaxies and tiny neutrinos, and discover new drugs.

Digital design engineer Abhilasha Dave’s passion for connecting machine learning and hardware is helping SLAC solve big data challenges.

David Cesar, Julia Gonski and W.L. Kimmy Wu will each receive $2.75 million issued over five years for their research in X-ray and ultrafast science, new physics and primordial gravitational waves.

Sensors designed and created at SLAC could help a proposed satellite mission map the X-ray emissions of galaxies with unprecedented precision.

A new report outlines suggestions for federal investments needed for the next generation of transformative discoveries in particle physics and cosmology, including priority projects at SLAC.

With up to a million X-ray flashes per second, 8,000 times more than its predecessor, it transforms the ability of scientists to explore atomic-scale, ultrafast phenomena that are key to a broad range of applications, from quantum materials to clean...

An enormous vat of pure liquid xenon will help scientists at SLAC and around the globe learn more about the universe.

They’ll work on experiments that search for dark matter particles and exotic neutrino decays that could help explain why there’s more matter than antimatter in the universe.

SLAC researchers contributed to the design, construction, testing and analysis of the experiment, which has already put the tightest bounds yet on a popular theory of dark matter.

Edelen draws on machine learning to fine tune particle accelerators, while Kurinsky develops dark matter detectors informed by quantum information science.