Scientific computing

SLAC researchers and collaborators trained a neural network that can use ion momentum to work backward and predict the pre-blast geometry of a molecule.

SLAC experts discuss how microelectronics impacts our lives and where the future lies in this Q&A.

Surfing a plasma wave, electrons get an energy and brightness boost.

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

A look inside the data processing infrastructure built by the NSF–DOE Vera C. Rubin Observatory to handle the Universe’s greatest data challenge.

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.

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

Strongly interacting electrons in quantum materials carry heat and charge in a way that’s surprisingly similar to what individual electrons do in normal metals, a SLAC/Stanford study finds.