This animation shows the proposed design of a future device for X-ray therapy, which researchers hope will be able to deliver radiation powerful enough to blast cancer cells in under a second instead of minutes.
Diagram with icons depicting how X-ray studies, machine learning and lab work (left) were used to study electrode nanoparticles (center) for batteries used in electric vehicles, consumer electronics and solar power (right).
How quickly a battery electrode decays depends on properties of individual particles in the battery – at first. Later on, the network of particles matters more.
KIPAC scientists have for the first time used artificial neural networks to analyze complex distortions in spacetime, called gravitational lenses, demonstrating that the method is 10 million times faster than traditional analyses.
The work sheds light on the web of hydrogen bonds that gives water its strange properties, which play a vital role in many chemical and biological processes.
Stanford postdoctoral researcher Stephen Dongmin Kang, left, demonstrates how he works at a modular glovebox workstation while Stanford postdoc Jungjin Park works at a neighboring computer in a SLAC battery lab.
