Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.

They found that gently heating N95 masks in high relative humidity could inactivate SARS-CoV-2 virus trapped within the masks, without degrading the masks’ performance.

Institute of Electrical and Electronics Engineers recognizes his contributions to developing electron beams that power unique ‘electron cameras’ and could advance X-ray lasers.

It uses terahertz radiation to power a miniscule copper accelerator structure.

Using SLAC’s synchrotron, Summers improves fundamental knowledge of the role of copper in the brain and investigates treatments for Alzheimer’s disease.

The honor recognizes his research on technologies for removing toxic chemicals from water.

This leap in capability will allow scientists to investigate quantum and chemical systems more directly than ever before.

Researchers demonstrate a new ability to drive and track electronic motion, which is crucial to understanding the role of electrons in chemical processes and how quantum coherence evolves on the shortest timescales.

The camera will explore cosmic mysteries as part of the Rubin Observatory’s Legacy Survey of Space and Time.

University of Alberta researchers worked with SLAC X-ray scientists to explore the potential of a feline coronavirus drug that may be effective against SARS-CoV-2.

Q-NEXT will tackle next-generation quantum science challenges through a public-private partnership, ensuring U.S. leadership in an economically crucial arena.

Their work uses machine learning to transform the way scientists tune particle accelerators for experiments and solve longstanding mysteries in astrophysics and cosmology.