Scientific Computing
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Yijin Liu Receives 2016 Spicer Award For Substantial Research Contributions Using X-ray Microscopy
Liu acknowledged for wide-ranging work in energy materials, catalysis, carbon sequestration, material in extreme conditions and scientific big data mining.
Aleksandra Vojvodic Named MIT Tech Review Innovator Under 35
The SLAC staff scientist is being honored for using theory and computation to help design new catalysts for generating and storing clean energy.
SLAC’s New Computer Science Division Teams with Stanford to Tackle Data Onslaught
Finding ways to handle torrents of data from LSST and LCLS-II will also advance “exascale” computing.
SLAC Research Resumes at Upgraded Large Hadron Collider
SLAC has led the development and implementation of a variety of upgrades to the ATLAS experiment to match the increased discovery potential of an LHC now operating at record proton collision energies.
Spiraling Laser Pulses Could Change the Nature of Graphene
Results from SIMES theorists pave the way for experiments that create and control new forms of matter with light.
Scientists Gather at SLAC to Prepare for Large Synoptic Survey Telescope
Two recent meetings at SLAC brought together experts working on computer hardware and software for LSST – a future telescope that will provide unprecedented views of the sky and may solve some of the biggest mysteries of the universe.
Symmetry: Forecasting the Future
Physicists and other scientists use the GEANT4 toolkit to identify problems before they occur.
Solving Big Questions Requires Big Computation
Understanding the origins of our solar system, the future of our planet or humanity requires complex calculations run on high-power computers.
Symmetry: Coming soon: Plan for the future of US particle physics
The Particle Physics Project Prioritization Panel’s recommendations will set the course for the future of particle physics in the United States.
Data-mining for Crystal 'Gold' at SLAC's X-ray Laser
A new tool for analyzing mountains of data from SLAC’s Linac Coherent Lightsource (LCLS) X-ray laser can produce high-quality images of important proteins using fewer samples. Scientists hope to use it to reveal the structures and functions of proteins that have proven elusive, as well as mine data from past experiments for new information
