A.I. and Machine Learning

RSS Feed RSS Feed


June 15, 2022
News Brief
Researchers model accelerator magnets' history using machine learning approach
Knowing a magnet’s past will allow scientists to customize particle beams more precisely in the future. As accelerators stretch for higher levels of performance, understanding subtle effects, such as those introduced by magnetic history, is becoming more critical.
A magnet on a test stand inside SLAC National Accelerator Laboratory.
March 7, 2022
News Feature
Q&A: From particle beams to cancer treatment – fundamental research that affects everyday life
SLAC’s Matt Garrett and Susan Simpkins talk about tech transfer that brings innovations from the national lab to the people, including advances for medical devices and self-driving vehicles.
Tech Transfer
July 29, 2021
News Feature
AI learns physics to optimize particle accelerator performance
Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.
SSRL
July 9, 2021
News Feature
SLAC hosts Secretary of Energy Jennifer Granholm for a virtual visit
She toured the lab’s powerful X-ray laser, looked at the construction of the world’s largest digital camera, and discussed climate research, industries of the future, and diversity, equity and inclusion in the sciences.
Secretary Granholm virtual visit
June 11, 2021
News Feature
External
SLAC to coordinate with Precourt on energy research incorporating environmental justice and social equity
The lab will help fund the work of researchers who use artificial intelligence and machine learning to make energy systems more sustainable, affordable, resilient and fair to all socioeconomic groups.
Portrait of Yi Cui, director of the Precourt Institute at Stanford
June 3, 2021
News Feature
SLAC’s Panofsky fellows talk about what makes their research so exciting
From the invisible world of elementary particles to the mysteries of the cosmos, recipients of this prestigious award for early career scientists explore nature at every level.
Panofsky fellows
March 24, 2021
News Brief
New machine learning tool diagnoses electron beams in an efficient, non-invasive way
It can help operators optimize the performance of X-ray lasers, electron microscopes, medical accelerators and other devices that depend on high-quality beams.
Virtual Diagnostics
March 8, 2021
Press Release
In a leap for battery research, machine learning gets scientific smarts
The latest advance from a research collaboration with industry could dramatically accelerate the development of sturdier batteries for fast-charging electric vehicles.
Diagram with icons depicting how X-ray studies, machine learning and lab work (left) were used to study electrode nanoparticles (center) for batteries used in electric vehicles, consumer electronics and solar power (right)
November 24, 2020
News Feature
Researchers search uncharted waters to find a better data-storage material
Most new materials are discovered near the proverbial shore. Now, scientists deploy artificial intelligence and high-throughput experimental techniques to search previously uncharted waters to find revolutionary new materials.
A ship sails along a coastline, while a sea monster swims near an island where treasure can be found.
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

Pages