Scientific Computing

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November 21, 2019
News Brief
Computer simulations yield a much more accurate picture of these states of matter.
Illustration of a Monte Carlo simulation
August 12, 2019
News Feature
At SLAC’s FACET facility, researchers have produced an intense electron beam by 'sneaking’ electrons into plasma, demonstrating a method that could be used in future compact discovery machines that explore the subatomic world.
Trojan horse illustration
April 3, 2019
News Feature
SLAC researchers say their new method could make it easier to study interactions of ultrabright X-rays with matter
Pump-probe ghost imaging
March 15, 2019
News Feature
Combination of research methods reveals causes of capacity fading, giving scientists better insight to design advanced batteries for electric vehicles
Cathode degradation
February 19, 2019
News Feature
The Large Synoptic Survey Telescope will track billions of objects for 10 years, creating unprecedented opportunities for studies of cosmic mysteries.
LSST Data Management
December 13, 2018
Press Release
SLAC scientists find a new way to explain how a black hole’s plasma jets boost particles to the highest energies observed in the universe. The results could also prove useful for fusion and accelerator research on Earth.
Cosmic particle accelerators
September 24, 2018
News Feature
SLAC receives three awards for the development of quantum technology for dark matter searches and quantum computing
Quantum Information Science
August 1, 2018
News Feature
Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.
Machine Learning in HEP
July 26, 2018
News Feature
Their work will deepen our understanding of matter in extreme conditions and fundamental particle physics.
Panofsky Fellows 2018
January 9, 2018
News Feature
As members of the lab’s Computer Science Division, they develop the tools needed to handle ginormous data volumes produced by the next generation of scientific discovery machines.
SLAC Computer Science Team

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