News
Researchers Narrow Down Mass of Sought-After Axion Particle
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
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
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
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
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 »
Computing Sciences Staff to Share Expertise at 2022 ECP Meeting
The Berkeley Lab Computing Sciences Area will be well-represented at the Exascale Computing Project’s annual meeting, an all-virtual event that will take place May 2-6. Read More »
Computational Analysis Enables Breakthrough in Biomolecular Dynamics
A new study with data analyses from Berkeley Lab computational researchers helps broaden the physical understanding of biomolecular assembly by tracking motion at high resolution and defining a general procedure for using in situ visualization and machine learning to explore such dynamics. This research characterizes the “energy landscape” for protein orientation and shows how that energy landscape controls the rate of motion between different orientations. Read More »
World Quantum Day 2022
On April 14, scientists, engineers, students, and science enthusiasts celebrated World Quantum Day, an international event to spark interest and generate enthusiasm about quantum mechanics. Here's a recap of our social media efforts. Read More »
Advancing New Battery Design with Deep Learning
A team of researchers from Berkeley Lab and UC Irvine has developed deep-learning algorithms designed to automate the quality control and assessment of new battery designs for electric cars. Read More »
Hydrogen Fuel Cells: An Environmentally Friendly Alternative
In the quest to develop alternatives to fossil fuels for a variety of transportation methods, environmentally friendly hydrogen fuel cells are finding favor – and funding. Read More »