Scientific Computing
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Artificial Intelligence Analyzes Gravitational Lenses 10 Million Times Faster
Menlo Park, Calif. — Researchers from the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks – a form of artificial intelligence – can accurately analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional methods.
Machine Learning Dramatically Streamlines Search for More Efficient Chemical Reactions
An advance by SLAC and Stanford researchers greatly reduces the time needed to analyze complex catalytic reactions for making fuel, industrial chemicals and other products, and should improve computational analysis throughout chemistry.
Femtosecond Week Chat with the Director of SLAC's X-ray Laser
Mike Dunne answers questions about ultrafast science.
New Ultrafast Science Fact Sheet
Our ultrafast science factsheet gives an overview of the femtosecond world.
New SLAC Theory Institute Aims to Speed Research on Exotic Materials at Light Sources
TIMES applies the power of theory to the search for novel materials with remarkable properties that could revolutionize technology.
SLAC, Berkeley Lab Researchers Prepare for Scientific Computing on the Exascale
Two recently funded computing projects work toward developing cutting-edge scientific applications for future exascale supercomputers that can perform at least a billion billion computing operations per second.
Q&A: SLAC Cosmology Research Featured in Terrence Malick’s ‘Voyage of Time’
KIPAC’s Ralf Kaehler and Tom Abel contributed two scenes to the science documentary narrated by Brad Pitt and Cate Blanchett.
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.
