It reveals an abrupt transition in cuprates where particles give up their individuality. The results flip a popular theory on its head.

Called XLEAP, the new method will provide sharp views of electrons in chemical processes that take place in billionths of a billionth of a second and drive crucial aspects of life.

Computer simulations yield a much more accurate picture of these states of matter.

Replacing today’s expensive catalysts could bring down the cost of producing the gas for fuel, fertilizer and clean energy storage.

The Hubbard model, used to understand electron behavior in numerous quantum materials, now shows us its stripes, and superconductivity too, in simulations for cuprate superconductors.

A new study shows how soccer ball-shaped molecules burst more slowly than expected when blasted with an X-ray laser beam.

Two projects will look for ways to link individual quantum devices into networks for quantum computing and ultrasensitive detectors.

SLAC/Stanford scientists and their colleagues find a new way to efficiently convert CO2 into the building block for sustainable liquid fuels.

SUNCAT researchers discover a way to improve a key step in these conversions, and explore what it would take to turn the climate-changing gas into valuable products on an industrial scale.

Made with ‘Jenga chemistry,’ the discovery could help crack the mystery of how high-temperature superconductors work.

Combined with the lab’s LCLS X-ray laser, it’ll provide unprecedented atomic views of some of nature’s speediest processes.

A new twist on cryo-EM imaging reveals what’s going on inside MOFs, highly porous nanoparticles with big potential for storing fuel, separating gases and removing carbon dioxide from the atmosphere.