Edward Hohenstein, Emma McBride and Caterina Vernieri study what happens to molecules hit by light, recreate extreme states of matter like those inside stars...
Zhenan Bao, Axel Brunger and Robert Byer are among 252 new members elected to the society, which honors exceptional scholars, leaders, artists and innovators...
Cryan is an investigator with the Stanford PULSE Institute at SLAC, while Marsden is an associate professor of pediatrics and of bioengineering at Stanford.
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
Institute of Electrical and Electronics Engineers recognizes his contributions to developing electron beams that power unique ‘electron cameras’ and could advance X-ray lasers.
Their work uses machine learning to transform the way scientists tune particle accelerators for experiments and solve longstanding mysteries in astrophysics and cosmology.
A pioneer in developing methods for cryogenic electron microscopy, he directs two joint facilities for cryo-EM research and development on the SLAC campus.
The prestigious awards provide at least $2.5 million over five years in support of their work in understanding photochemical reactions and improving accelerator beams.
Edward Hohenstein, Emma McBride and Caterina Vernieri study what happens to molecules hit by light, recreate extreme states of matter like those inside stars and planets, and search for new physics phenomena at the most fundamental level.
Zhenan Bao, Axel Brunger and Robert Byer are among 252 new members elected to the society, which honors exceptional scholars, leaders, artists and innovators engaged in advancing the public good.
Cryan is an investigator with the Stanford PULSE Institute at SLAC, while Marsden is an associate professor of pediatrics and of bioengineering at Stanford.
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
Institute of Electrical and Electronics Engineers recognizes his contributions to developing electron beams that power unique ‘electron cameras’ and could advance X-ray lasers.
Their work uses machine learning to transform the way scientists tune particle accelerators for experiments and solve longstanding mysteries in astrophysics and cosmology.
A pioneer in developing methods for cryogenic electron microscopy, he directs two joint facilities for cryo-EM research and development on the SLAC campus.
The prestigious awards provide at least $2.5 million over five years in support of their work in understanding photochemical reactions and improving accelerator beams.