Devereaux was honored for contributions to materials science and was among seven Stanford-affiliated researchers named AAAS Fellows this year.

Do you know your convolutional neural networks from your boosted decision trees?

In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles written and illustrated entirely by humans.

The team developed a groundbreaking method that harnesses the structure of light to twist and tweak the properties of quantum materials. 

Vera C. Rubin Observatory’s stunningly detailed images will illuminate distant stellar streams and their past encounters with dark matter.

Researchers have used the Dark Energy Spectroscopic Instrument to make the largest 3D map of our universe and world-leading measurements of dark energy, the mysterious force behind its accelerating expansion.

Once set in place atop a telescope in Chile, the 3,200-megapixel LSST Camera will help researchers better understand dark matter, dark energy and other mysteries of our universe.

In a new study, SLAC researchers suggest a small-scale solution could be the key to solving a large-scale mystery.

Sensors designed and created at SLAC could help a proposed satellite mission map the X-ray emissions of galaxies with unprecedented precision.

An advisory committee recommends the US work to advance three key areas of emerging accelerator technology.