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...

Using Twinkles, the new simulation of images of our night sky, scientists get ready for a gigantic cosmological survey unlike any before.

Can the same type of technology Facebook uses to recognize faces also recognize particles?

Physicists and scientific computing experts prepare for an onslaught of petabytes.

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.

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