Researchers across the lab are developing AI tools to harness data and particle beams in real time and make molecular movies, speeding up the discovery process in the era of big data.

Scientists worldwide who conduct research at SLAC’s light sources shine light on latest discoveries and innovations in talks, workshops and discussions.

The SLAC professor was elected to the American Physical Society in recognition of his research on ultrafast X-ray methods.

SLAC is leading an effort to build a network that will enable AI and machine learning to steer experiments and more.

This research advances our understanding of Earth's deep interior and exoplanets, opening new research avenues in Earth and planetary sciences.

The high-energy upgrade will keep the U.S. at the forefront of X-ray science and technology, allowing researchers to advance fields such as sustainability, human health and quantum information.

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.

The Center for Energy Efficient Magnonics (CEEMag) brings together a multidisciplinary group of researchers from SLAC and seven universities

The results, which show how the protein adds nucleotides to the growing RNA chain, could lead to more effective medications.

Their method provides a new tool to study electron-electron interactions, which are fundamental to many technologies, including semiconductors and solar cells.