News
Self-Supervised ML Adds Depth, Breadth & Speed to Sky Surveys
Sky surveys are invaluable for exploring the universe, but they are also one of the largest data generators in science. A team of researchers from Berkeley Lab is finding success in a new approach: self-supervised representation learning. Read More »
Limit Global Warming to 1.5°C and Halve the Land Ice Contribution to Sea Level this Century
A new study predicts that a major contributor to sea-level rise – melting land ice – could be halved this century (from today to 2100) if we meet the Paris Agreement target of limiting global warming to 1.5°C. This work combines nearly 900 simulations, including some of Berkeley Lab Computational Scientist Dan Martin's BISICLES models of Antarctic ice sheets. Read More »
Continuing Arecibo’s Legacy
Through its affiliation with the Engagement and Performance Operations Center, ESnet is part of a multi-institutional partnership formed to safely transfer over three petabytes of data from 50 years of Arecibo Observatory sky scans. Read More »
CS Area Hosts Inaugural Mid-Career Workshop
Berkeley Lab Computing Sciences held its inaugural Mid-Career Development Training workshop to help research and technical staff with 10-15 years' experience transition to more senior roles. Read More »
NERSC and ESnet Take Scientific Data Collaboration to the Next Level
When the Dark Energy Science Collaboration needed a fast, secure, and convenient way to share large data sets with scientists outside of the collaboration, they turned to Berkeley Lab Computing Sciences for help, ultimately choosing an innovative data-sharing solution: the Modern Research Data Portal. Read More »
From Drawing Board to Community: A Decade in the Life of Nyx
The Nyx code has helped advance the field of cosmology and ready it for the age of exascale computing. Read More »
Amid the Pandemic, Virtual CS Postdoc Symposium Provides Training and Connections
Last month, 20 postdoctoral fellows from across the Computing Sciences Area presented their work in exascale computing, computational science, machine learning, quantum computing, data management and analysis, and much more at Berkeley Lab's Computing Sciences 2021 Postdoc Symposium. Read More »
Autonomous Discovery: What’s Next in Data Collection for Experimental Research
A Q&A with CAMERA's Marcus Noack on this emerging data acquisition approach and a related virtual workshop for users from multiple research areas. Read More »
Dani Ushizima Named One of ’25 Women in Science in Latin America’
Daniela Ushizima, a staff scientist in Berkeley Lab's Computational Research Division, is among 25 female scientists from Latin America recently honored by 3M for innovative research. Read More »
HPC Explorations of Supernova Explosions Help Physicists Reach New Milestones
For more than 60 years, physicists have been studying the question of how supernova explosions occur. Thanks to the increasing power of supercomputing resources such as those at NERSC, they’re moving ever closer to an answer. Read More »