Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.
SLAC and Stanford researchers secure support for two projects that share one goal: to reduce the side effects of radiation therapy by vastly shrinking the length of a typical session.
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
Cryo-EM snapshots of the solid-electrolyte interphase, or SEI, reveal its natural swollen state and offer a new approach to lithium-metal battery design.
Q-NEXT will tackle next-generation quantum science challenges through a public-private partnership, ensuring U.S. leadership in an economically crucial arena.
To find the best possible shape for an accelerator component (left), researchers often have to tweak a number of factors at the same time, which would be tedious and time-consuming if done by hand. Software like SLAC’s ACE3P allows them...
Particle accelerators are used every day in a wide range of scientific, medical and industrial applications. But did you know that the task of operating these machines is far from mundane? For example, for every experiment at SLAC’s X-ray laser...
Strongly interacting electrons in quantum materials carry heat and charge in a way that’s surprisingly similar to what individual electrons do in normal metals, a SLAC/Stanford study finds.
This animation shows an accelerator cavity whose design is being optimized with the help of a dashboard Kitware developed for use with SLAC’s ACE3P software. The waves of color traveling through the modeled accelerator cavity represent electromagnetic fields that pull...
The team reduced the amount of expensive platinum group metals needed to make an effective cell and found a new way to test future fuel cell innovations.
