To address challenges associated with extremely large data volumes and rates, SLAC’s Computer science division works with Stanford and Silicon Valley partners on innovative computational solutions.
Construction of an annex to the Stanford Research Computing Facility (SRCF) began in November 2021 and is expected to be completed in the second half of 2023.
(Olivier Bonin/SLAC National Accelerator Laboratory)
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...
More than 100 students worked on projects ranging from website development to imaging techniques for X-ray studies, learning new ways to apply their talents.
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...
Liu acknowledged for wide-ranging work in energy materials, catalysis, carbon sequestration, material in extreme conditions and scientific big data mining.
Tiny pores in the shells of archaea microbes attract ammonium ions that are their sole source of energy, allowing them to thrive where this food is so scarce that scientists can’t even detect it.
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.
More than 100 students worked on projects ranging from website development to imaging techniques for X-ray studies, learning new ways to apply their talents.
The research team was able to watch energy from light flow through atomic ripples in a molecule. Such insights may provide new ways to develop a class of materials that improve efficiency and reduce the size of applications like solar...
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.
Liu acknowledged for wide-ranging work in energy materials, catalysis, carbon sequestration, material in extreme conditions and scientific big data mining.