Materials science

The research reveals the potential for machine learning in understanding the complex behavior of quantum materials.

A groundbreaking study shows defects spreading through diamond faster than the speed of sound 

Scientists developed a groundbreaking technology that allows them to see sound waves and microscopic defects inside crystals, promising insights that connect ultrafast atomic motion to large-scale macroscopic behaviors.

SSRL's X-ray tools reveal that alcohol groups on a nanodiamond's surface allow one of the world's most valuable materials to bond with one of its most abundant.

With up to a million X-ray flashes per second, 8,000 times more than its predecessor, it transforms the ability of scientists to explore atomic-scale, ultrafast phenomena that are key to a broad range of applications, from quantum materials to clean...

Researchers demonstrate a way to remove the potent greenhouse gas from the exhaust of engines that burn natural gas.  

It irons out wrinkles in thin films of these novel superconductors so scientists can see their true nature for the first time. 

The results offer important implications for astrophysics and nuclear fusion research.

A low-cost, recyclable powder can kill thousands of waterborne bacteria per second when exposed to sunlight. Stanford and SLAC scientists say the ultrafast disinfectant could be a revolutionary advance for 2 billion people worldwide without access to safe drinking water.

New SLAC-Stanford Battery Center bridges the gaps between discovering, manufacturing and deploying innovative energy storage solutions. 

A machine learning algorithm automatically extracts information to speed up – and extend – the study of materials with X-ray pulse pairs.

The award celebrates Huang’s achievements studying atom-scale physics with fast X-ray pulses.