Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.

Combination of research methods reveals causes of capacity fading, giving scientists better insight to design advanced batteries for electric vehicles

SLAC receives three awards for the development of quantum technology for dark matter searches and quantum computing

Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.

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...

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.