SLAC is taking part in a multi-institutional effort to help reach net-zero carbon emissions goals in difficult-to-electrify industries.

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

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.