Maria Elena Monzani prepares an international team to search for clues to one of the biggest scientific mysteries.

Four large meshes made from 2 miles of metal wire will extract potential signals of dark matter particles.

SLAC completed its work on ComCam, a commissioning device to be installed in Chile later this year.

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

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

New technology could help future SuperCDMS SNOLAB experiment expand the search for light dark matter particles

SLAC researchers play an important role in the data acquisition of the largest liquid-argon neutrino detector in the world, a prototype for the future Deep Underground Neutrino Experiment.

A team of electrical designers develops specialized microchips for a broad range of scientific applications, including X-ray science and particle physics.

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.

Their work will deepen our understanding of matter in extreme conditions and fundamental particle physics.

SLAC and Stanford researchers are developing a device that combines electrical brain stimulation with EEG recording, opening potential new paths for treating neurological disorders.

The SuperCDMS SNOLAB project, a multi-institutional effort led by SLAC, is expanding the hunt for dark matter to particles with properties not accessible to any other experiment.