Computer science

Derek Mendez and Xueli “Sherry” Zheng aim to accelerate drug discovery and improve energy storage.

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.

His visit highlighted the breadth of our world-class research and the people and collaborations that make it possible. A key theme of the day: how SLAC and the National Labs are advancing AI to accelerate discovery.

SLAC Deputy Director for Science and Technology Alberto Salleo's lab at Stanford is creating artificial synapses to replicate the brain’s efficiency and learning capacity in computing systems.

SLAC researchers drew on advanced computation and X-ray methods to track down a water-splitting copper catalyst.

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.

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.

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

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.