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ASU and Berkeley Lab tools make AI safer for science

Neutrino Flavors Encoded, a Leap for Quantum Computing and Physics

Expert Interview: Sean Peisert on Cybersecurity Research

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.

Machine Learning Breakthrough Transforms Battery Lifespan Prediction

Illustration showing a machine learning framework for battery testing: a Gaussian Process model visualizes battery energy predictions across cycles and parameters, with model entropy highlighting areas of uncertainty for new experiments; additional graphics show cell testing results, predicted energy decline, and a gauge indicating battery C-rate from low to high.

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

After Decades Dedicated to Science, Richard Gerber Retires

Science Highlight: Breakthrough Computing Method Speeds Up Big Calculations for Science and Engineering

Color-coded matrix diagram illustrating the H2 matrix representation of a 3D Boundary Element Method (BEM) matrix, with red blocks indicating fully formed matrix sections and green blocks showing low-rank compressed regions in a nested structure.

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

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