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Deep Learning School Convenes AI Experts, Researchers

Berkeley Researchers Advance Fluid Flow Modeling for Better Energy Production

Simulation showing a 3D model of fluid flow through fractured subsurface dolomite, with color indicating different regions or properties within the flow.

Doudna Supercomputer to Feature Innovative Storage Solutions for Simulation, Data, and AI

After Decades Dedicated to Science, Richard Gerber Retires

DOE Announces New Supercomputer Powered by Dell and NVIDIA to Speed Scientific Discovery

Illustration of Jennifer Doudna holding a model of a molecule in front of a background illustration of a DNA molecule. The name "Doudna" appears on one side.

Meet Mark Fornace, Berkeley Lab’s 2025 Alvarez Fellow

A person standing outdoors in front of tall evergreen trees, with sunlight filtering through the branches.

Computational Chemistry Unlocked: A Record-Breaking Dataset to Train AI Models has Launched

Computing Chemistry Color Geometric Shape

Five Ways Berkeley Lab's NERSC is Revolutionizing Scientific Research

NERSC Perlmutter

Building a Data Pipeline to Accelerate Discovery

DataPipeline

Berkeley Lab Researchers Awarded ARITH 2025 Best Paper

Certificate for the Best Paper Award at the 32nd IEEE Symposium on Computer Arithmetic (ARITH-2025), held in El Paso, Texas, May 4–7, 2025. The award is given to Jackson Vanover, James Demmel, Xiaoye Sherry Li, and Cindy Rubio-González for the paper titled "EXCVATE: Spoofing Exceptions and Solving Constraints to Test Exception Handling in Numerical Libraries." The certificate is signed by Program Chairs Ping Tak Peter Tang and Guillaume Melquiond.

Taking Big Steps, Berkeley Lab Scientists Shape Improvements in Topological Optimization

A view of Mount Everest, the world's highest peak, covered in snow and ice.

A New Age of Electron Microscopy: Magnifying Possibilities with Automation

Automated atomic-resolution imaging of core-shell nanoparticles showing low-magnification image with identified regions of interest and atomic-resolution inset of one region.
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