SLAC+Stanford

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January 8, 2020
News Feature
Just as engineers once compressed some of the power of room-sized mainframes into desktop PCs, so too have the researchers shown how to pack some of the punch delivered by today’s ginormous particle accelerators onto a tiny silicon chip.
ACHIP
December 17, 2019
News Brief
A new understanding of the nucleation process could shed light on how the shells help microbes interact with their environments, and help people design self-assembling nanostructures for various tasks.
Illustration of tiles forming a microbial shell
December 3, 2019
News Feature
It reveals an abrupt transition in cuprates where particles give up their individuality. The results flip a popular theory on its head.
Illustration of abrupt transition in normal state of a cuprate
November 21, 2019
News Brief
Computer simulations yield a much more accurate picture of these states of matter.
Illustration of a Monte Carlo simulation
November 6, 2019
News Feature
His work aims to deepen our understanding of dark matter, dark energy and other secrets of the universe.
Photo of Panofsky fellow Daniel Gruen
October 28, 2019
News Feature
The Dark Energy Spectroscopic Instrument begins final testing, setting the stage for a 5-year survey that will analyze the light of 35 million galaxies.
DESI 'eyes'
October 18, 2019
News Feature
A study including SLAC scientists and facilities discovers a new process that shows promise in turning the greenhouse gas back into usable fuels.
Two Stanford researchers in the lab
October 14, 2019
Press Release
Replacing today’s expensive catalysts could bring down the cost of producing the gas for fuel, fertilizer and clean energy storage.
Grad student McKenzie Hubert watches electrolyzer at work
October 1, 2019
News Feature
After meeting at a party, a Stanford psychologist and SLAC particle physicists have collaborated on a new kind of EEG device that can stimulate the brain and read out the effects.
September 30, 2019
News Feature
Early-career physicist Jonathan LeyVa helps build one of the world’s most sensitive dark matter detectors.
Jonathan LeyVa/SuperCDMS

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