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Machine Learning for Science

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Using machine learning in over 100 different projects, Berkeley Lab scientists have tracked atomic particles, searched for better battery materials, analyzed traffic patterns, improved crop yields, pinpointed extreme weather in exascale climate simulations, and pieced together metagenomic puzzles from billions of DNA fragments. » Read More

Next-Gen Neurodata Standard

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Neurodata Without Borders: Neurophysiology Consortium rolls out v2.0 of its software ecosystem for neuroscientists. » Read More

Workshop Primes Research Collaborations

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Nearly 30 faculty attended a workshop to match professor-and-student teams from historically underrepresented or underserved institutions with lab staff for summer research opportunities. The program is operated in conjunction with the Sustainable Horizons Institute. » Read More

CAMERA Pictures Biological Molecules in Motion

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Berkeley Lab researchers, in collaboration with scientists from SLAC National Accelerator Laboratory and the Max Planck Institute, have demonstrated that fluctuation X-ray scattering is capable of capturing the behavior of biological systems in unprecedented detail. The novel X-ray imaging technique made possible by the CAMERA Center offers nanoscale insights into the behavior of biological molecules. » Read More

News

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NWB:N Consortium Rolls Out v2.0 of Software Ecosystem for Neuroscientists

February 4, 2019

The Neurodata Without Borders: Neurophysiology (NWB:N) project, led by Berkeley Lab, has achieved yet another milestone with the full release of NWB:N 2.0 in January.

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SRP Workshop Matches Faculty-and-Student Teams with Berkeley Lab Research Collaborators

December 6, 2018

Nearly 30 faculty members from schools all over the U.S. attended the latest Sustainable Research Pathways matching workshop, held December 4, 2018 in Berkeley Lab’s Shyh Wang Hall.


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Novel X-ray Imaging Technique Provides Nanoscale Insights into Behavior of Biological Molecules

December 5, 2018

CAMERA researchers have spent the past several years developing a new data analysis approach for fluctuation X-ray scanning that helps avoid motion blur and yields better, more detailed three-dimensional models.

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CRD Scientists Bell, Colella Receive Lab Lifetime Achievement Awards

December 3, 2018

John Bell and Phil Colella of Berkeley Lab's Computational Research Divison (CRD) each received the 2018 Berkeley Lab Prize – Lifetime Achievement Award at a special ceremony on Nov. 30. The Berkeley Lab Prize is presented annually to honor career-spanning exceptional achievements.