A.I. and Machine Learning

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July 29, 2021
News Feature
Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.
SSRL
July 9, 2021
News Feature
She toured the lab’s powerful X-ray laser, looked at the construction of the world’s largest digital camera, and discussed climate research, industries of the future, and diversity, equity and inclusion in the sciences.
Secretary Granholm virtual visit
June 11, 2021
News Feature
External
The lab will help fund the work of researchers who use artificial intelligence and machine learning to make energy systems more sustainable, affordable, resilient and fair to all socioeconomic groups.
Portrait of Yi Cui, director of the Precourt Institute at Stanford
June 3, 2021
News Feature
From the invisible world of elementary particles to the mysteries of the cosmos, recipients of this prestigious award for early career scientists explore nature at every level.
Panofsky fellows
March 24, 2021
News Brief
It can help operators optimize the performance of X-ray lasers, electron microscopes, medical accelerators and other devices that depend on high-quality beams.
Virtual Diagnostics
March 8, 2021
Press Release
The latest advance from a research collaboration with industry could dramatically accelerate the development of sturdier batteries for fast-charging electric vehicles.
Diagram with icons depicting how X-ray studies, machine learning and lab work (left) were used to study electrode nanoparticles (center) for batteries used in electric vehicles, consumer electronics and solar power (right)
November 24, 2020
News Feature
Most new materials are discovered near the proverbial shore. Now, scientists deploy artificial intelligence and high-throughput experimental techniques to search previously uncharted waters to find revolutionary new materials.
A ship sails along a coastline, while a sea monster swims near an island where treasure can be found.
September 30, 2020
News Feature
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
Daniel Ratner
August 25, 2020
News Feature
Their work uses machine learning to transform the way scientists tune particle accelerators for experiments and solve longstanding mysteries in astrophysics and cosmology.
Portraits of Auralee Edelen and Kimmy Wu
June 23, 2020
News Feature
The prestigious awards provide at least $2.5 million over five years in support of their work in understanding photochemical reactions and improving accelerator beams.
SLAC staff scientists Amy Cordones-Hahn and Brendan O'Shea

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