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Data Management Platform Strengthens Wildland Fire Science

June 13, 2022

As we face the threat of more frequent and more severe wildfires under climate change, Berkeley Lab researchers are building a managed data platform to help scientists better understand and predict wildland fire hazards, risks, and behaviors. Read More »

Simulations at NERSC Drive Progress Toward Nuclear Fusion

May 31, 2022

Simulations performed at NERSC at Berkeley Lab have brought researchers one step closer to producing efficient, endlessly renewable energy through nuclear fusion, harnessing the process that produces light and heat in our Sun and other stars. Read More »

Summer Researchers Return In-Person, Remotely

May 25, 2022

For the first time since the COVID-19 outbreak, the Computing Sciences (CS) Area’s Summer Program will host in-person participants, as well as remote. SciData Division Director Deb Agarwal welcomes 2022 participants on June 7. Read More »

Machine Learning Fuels Materials Science and Search in Continuous Action Spaces

May 17, 2022

Using computing resources at NERSC at Berkeley Lab, researchers at Argonne National Laboratory have succeeded in exploring important materials-science questions and demonstrated progress using machine learning to solve difficult search problems. Read More »

Computer Models Show Role of Climate Change in Intense 2020 Hurricane Season

May 16, 2022

A computer modeling study of the historic 2020 North Atlantic hurricane season found that human-induced climate change played a major role. Read More »

Researchers Narrow Down Mass of Sought-After Axion Particle

May 10, 2022

Researchers at Berkeley Lab and other institutions have narrowed the range of possible masses for the axion, a theoretical particle that may make up much of the dark matter in the universe. Read More »

New Encoder-Decoder Overcomes Limitations in Scientific Machine Learning

May 2, 2022

A team of Berkeley Lab computational researchers introduce a new Python-based encoder-decoder framework for complex scientific datasets that overcomes deep learning semantic segmentation issues and widespread adaptability problems. Read More »

New Book Addresses the Unique Artificial Intelligence Needs of High Energy Physics

April 28, 2022

Berkeley Lab's Paolo Calafiura recently co-edited the book Artificial Intelligence for High Energy Physics, a self-contained, pedagogical introduction to using machine learning models in high energy physics. The book was published in March by the World Scientific Publishing Company, Read More »

San Francisco and Berkeley Lab Team Up on Pioneering Climate Study

April 27, 2022

Berkeley Lab computational resources are helping the City and County of San Francisco adapt to the Bay Area's changing climate and the extreme storms it is expected to bring. Read More »

Osni Marques Takes on New Role with Exascale Computing Project

April 26, 2022

Osni Marques, a staff scientist in the Applied Math and Computational Research Division, has been tapped to lead the Training & Productivity effort within the Exascale Computing Project. Read More »