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JoAnne Hewett awards medals to the winners of the SLAC Regional High School Science Bowl, Saratoga High School Team 1. The event was held...

JoAnne Hewett presents medals to Saratoga High School students.
News Feature

Together with two long-time collaborators, he is recognized for work that helps us understand the strong nuclear force.

A man standing in front of a chalkboard.
News Feature

The SIMES investigator was cited for his singular contributions to quantum materials science.

Headshot of David Goldhaber-Gordon
News Feature

Under his leadership, the lab diversified its research portfolio, expanded its science impact, advanced major projects, increased collaboration with Stanford and met the challenges...

A man in a blue shirt and gray suit poses in front of a large scientific apparatus.
News Feature

The award celebrates Huang’s achievements studying atom-scale physics with fast X-ray pulses.

Yijing Huang at Stanford University
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Energy science directorate (ESD) team 

Energy Sciences Directorate team at the Battery500 Quarterly Review Meeting on May 25-26 at SLAC's Main Quad.
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The SLAC main entrance from Sand Hill Road. Science and User Support Building (SUSB) with Stanford Guest house to the left.

The SLAC main entrance from Sand Hill Road. Science and User Support Building (SUSB) with Stanford Guest house to the left.
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The Science and User Support Building (SUSB) is located just inside SLAC’s main gate and is a visitor’s first stop when they arrive at...

Science and User Support Building (SUSB)
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A social lunch event on the Main Quad for Director’s Award recipients and members of the SLAC community with notable years of service.

Social lunch event for honorees
News Feature

The lab hosted two regional competitions this year. Winners of the Science Bowl regionals go on to nationals.

Screenshot of winning high school team Lynbrook
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
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