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.

These stripes of electron spin and charge are exciting because of their possible link to a phenomenon that could transform society by making electrical transmission nearly 100 percent efficient.

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.