Thank you to Valeriy Yashchuk, Haris Mahic, Bill Holmquist, Gordon Lyall, Phil Yuzon, and William Fung for your contributions to the ALS. Congratulations on your retirement! Read more »
ALS in the News (June 2026)
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- QSA Trains 150+ Quantum Students annually at Berkeley Lab
- Stacking Up for the Future: How Researchers Are Building Next-Gen Quantum Computers
- Two SLAC Researchers receive DOE Early Career Awards (ALS partner)
- Researchers pioneer method to rapidly design proteins
- Room-temperature multiferroic could pave way to low-energy computing
A World of Vibe Coding Opportunities at the ALS
In April 2026, a panel of vibe coders hosted a tutorial at the ALS. From a general overview to specific strategies to optimize the code, participants learned all about how vibe coding can improve their workflows. Read more »
Poster Session for Spring 2025 Cohort of ALS Fellows
On the sunny afternoon of April 23, the ALS community gathered to celebrate a year of excellent science from the ALS fellows. The Spring 2025 Cohort presented their posters, and everyone enjoyed cake on the patio. Read more »
ALS in the News (April 2026)
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- Real‑time AI engine poised to revolutionize large‑scale imaging data at national labs
- Oak Ridge Lab converts plastic waste into fuel using new molten salt method
- Molten salt chemistry converts consumer polymer into fuel
- Berkeley Lab and ATAP Welcome James Logan High School
- Two Engineering Division Employees Make a Big Impact Through Mentoring and Volunteering
Accelerate UX Workshop Brings Global Expertise Together at the ALS
Staff from eleven different accelerator lab facilities gathered at the ALS to improve the user experience for operators, researchers, engineers, and more. Workshop participants learned from experts in the UX field and even took part in a hackathon that paired beamline scientists with interface developers. Read more »
ALS in the News (March 2026)
ALS in the News (February 2026)
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- Mission Possible Podcast: OMG, it’s GIWAXS!
- How a Machine Learning Pipeline Could Accelerate Innovation
- AI for Smarter, More Powerful, More Efficient Particle Accelerators
- Crunching Big Data Into 3D Images Accelerates Discovery
- Accelerating Science with Digital Twins
- Basics 2 Breakthroughs: Optimizing Materials for Next-Generation Microelectronics
Crunching Big Data Into 3D Images Accelerates Discovery
Advanced Light Source scientists and users can now harness a superfacility pipeline to process 3D data in minutes. Read more »
AI for Smarter, More Powerful, More Efficient Particle Accelerators
The Multi-Office particle Accelerator Team (MOAT) is developing artificial intelligence tools to improve particle accelerators and speed breakthroughs. The collaborative effort is led by Berkeley Lab and is part of the Genesis Mission, a new national AI initiative. Read more »
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