Accelerator Directorate

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September 1, 2021
News Feature
Three physicists talk about how they got started, their work at SLAC and what they would say to others considering a career in STEM.
Isleydys Silva Torrecilla, Emmanuel Aneke and Bhavna Nayak
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
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
October 21, 2020
News Feature
At the Machine Shop, Pete Franco crafts beautiful, intricate and precise parts for the lab’s latest scientific tools.
Pete Franco at the SLAC Machine Shop
October 12, 2020
Press Release
FACET-II will pave the way for a future generation of particle colliders and powerful light sources, opening avenues in high-energy physics, medicine, and materials, biological and energy science.
FACET II
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
September 24, 2020
News Brief
Institute of Electrical and Electronics Engineers recognizes his contributions to developing electron beams that power unique ‘electron cameras’ and could advance X-ray lasers.
Xijie Wang
September 14, 2020
News Brief
This leap in capability will allow scientists to investigate quantum and chemical systems more directly than ever before.
SXU
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

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