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CSA Staff Bring Diverse Research Efforts to 2023 AGU Fall Meeting
When approximately 25,000 attendees convene in San Francisco for the 2023 American Geophysical Union’s Fall Meeting, a number of Berkeley Lab Computing Sciences Area staff will be among them, giving invited talks, presenting papers, and showing posters. The meeting will be held from December 11-15 at Moscone Center and online. Read More »
NERSC 50th Anniversary Among CSA Highlights at SC23
NERSC director Sudip Dosanjh kicked off NERSC’s 50th anniversary year in front of a crowd of NERSC users, staff, and fans in the DOE booth at the SC23 conference November 12–17 – just one highlight among many for the CS Area throughout the week. Read More »
AMCR’s Wehner Explores Impact of ‘Extreme Event Attribution’ on Climate Science Research
Michael Wehner, a senior scientist in the AMCR Division, has spent the last two decades talking to colleagues, policy makers, and the general public about the realities of climate change. But lately, the conversation itself has been changing. Read More »
Berkeley Lab Machine Learning Experts Share Exciting Scientific Developments at NeurIPS 2023
In less than two weeks, several Berkeley Lab machine learning experts head to New Orleans for the 37th Conference on Information Processing Systems (NeurIPS 2023), held this year from December 10-16, 2023. Read More »
Cori and Perlmutter Support New Understanding of Reaction Behind Salt-Based Nuclear Reactors
Using computing resources at NERSC, researchers have shown how electrons interact with ions of molten salts, providing insights into the processes that could occur inside next-generation salt-based nuclear reactors known as molten-salt reactors (MSRs). Read More »
2023 Hopper Fellow Embraces the Challenges of Large-Scale Science
David Tench, the 2023 Grace Hopper postdoctoral fellow at Lawrence Berkeley National Laboratory (Berkeley Lab), describes discovering his fellowship opportunity as a “Goldilocks moment.” Read More »
The Future is Bright: CAMERA Mathematics for Accelerating Scientific Discovery
Berkeley Lab’s CAMERA will expand its work on developing new mathematics, algorithms, software, autonomous workflows, and real-time edge mathematics for the DOE’s next-generation X-ray light sources and neutron scattering facilities. Read More »
Perlmutter System Played Role in Two 2023 Gordon Bell Prize Winning Projects
The two teams that were awarded, respectively, the 2023 ACM Gordon Bell Prize and the first-ever Gordon Bell Climate Modeling Prize both used the Perlmutter supercomputer as part of their winning research efforts. Read More »
The M.O. of ML: Can AI Foundation Models Drive Accelerated Scientific Discovery?
Can AI foundation models drive accelerated scientific discovery? Berkeley Lab scientists answer that question and reveal the a promising modus operandi of scientific machine learning. Read More »
Berkeley Lab CS Area to Share Computing Expertise at SC23
CSA researchers, scientists, and engineers are participating in a variety of tutorials, workshops, panels, technical papers, and posters as part of SC23's technical program. Read More »