Computer Science

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September 30, 2020
News Feature
Q&A: How machine learning helps scientists hunt for particles, wrangle floppy proteins and speed discovery
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
Daniel Ratner
September 16, 2019
News Feature
In brief: New round of DOE awards bolsters quantum information science at SLAC
Two projects will look for ways to link individual quantum devices into networks for quantum computing and ultrasensitive detectors.
QIS microantenna
July 18, 2019
News Feature
A day in the life of a dark matter data wrangler
Maria Elena Monzani prepares an international team to search for clues to one of the biggest scientific mysteries.
Maria Elena Monzani at the LZ test facility
May 9, 2019
News Feature
Q&A: SLAC/Stanford researchers prepare for a new quantum revolution
Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.
QIS-Schleier-Smith-Irwin
September 24, 2018
News Feature
DOE announces $218 million for Quantum Information Science
SLAC receives three awards for the development of quantum technology for dark matter searches and quantum computing
Quantum Information Science
August 1, 2018
News Feature
Particle physicists team up with AI to solve toughest science problems
Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.
Machine Learning in HEP
June 13, 2018
News Feature
SLAC, Stanford Scientists Discover How a Hardy Microbe’s Crystalline Shell Helps it Reel in Food
Tiny pores in the shells of archaea microbes attract ammonium ions that are their sole source of energy, allowing them to thrive where this food is so scarce that scientists can’t even detect it.
Artist's depiction of a tiny pore in an archaea's crystalline shell
January 9, 2018
News Feature
Q&A: Alan Heirich and Elliott Slaughter Take On SLAC’s Big Data Challenges
As members of the lab’s Computer Science Division, they develop the tools needed to handle ginormous data volumes produced by the next generation of scientific discovery machines.
SLAC Computer Science Team
September 21, 2017
News Feature
From Science to Finance: SLAC Summer Interns Forge New Paths in STEM
More than 100 students worked on projects ranging from website development to imaging techniques for X-ray studies, learning new ways to apply their talents.
July 11, 2017
News Feature
Scientists See Molecules ‘Breathe’ in Remarkable Detail
The research team was able to watch energy from light flow through atomic ripples in a molecule. Such insights may provide new ways to develop a class of materials that improve efficiency and reduce the size of applications like solar cells and memory storage devices.
View of the The X-ray Pump Probe instrument at SLAC’s Linac Coherent Light Source.

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