SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime that are crucial for our understanding of the universe.

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.

TIMES applies the power of theory to the search for novel materials with remarkable properties that could revolutionize technology.

SLAC launched America’s first website on Dec. 12, 1991.

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.

KIPAC’s Ralf Kaehler and Tom Abel contributed two scenes to the science documentary narrated by Brad Pitt and Cate Blanchett.

Liu acknowledged for wide-ranging work in energy materials, catalysis, carbon sequestration, material in extreme conditions and scientific big data mining.

The SLAC staff scientist is being honored for using theory and computation to help design new catalysts for generating and storing clean energy.

Finding ways to handle torrents of data from LSST and LCLS-II will also advance “exascale” computing.

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.

Results from SIMES theorists pave the way for experiments that create and control new forms of matter with light.