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Catching Extreme Waves with High-Resolution Modeling

storm lines 25 100 km

Using decades of global climate data generated at a spatial resolution of about 25 kilometers squared, Berkeley Lab researchers were able to capture the formation of tropical cyclones, also referred to as hurricanes and typhoons, and the extreme waves that they generate. » Read More

Predicting Metallic Defects with Machine Learning

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For the first time, Berkeley Lab researchers have built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. This method will accelerate research of new advanced alloys and lightweight new materials for applications spanning automotive to aerospace and much more. » Read More

Invisible Chaos of Superluminous Supernovae

mag1 denv2

To better understand the physical conditions that create superluminious supernova, astrophysicists are running 2D simulations of these events using supercomputers at NERSC and CRD developed CASTRO code. » Read More

Berkeley Lab to Lead AMR Co-Design Center

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Berkeley Lab will lead one of four co-design centers under the Department of Energy’s Exascale Computing Project (ECP). The Block-Structured Adaptive Mesh Refinement Co-Design Center will be led by John Bell of the lab’s Computational Research Division, with support from Argonne National Laboratory and the National Renewable Energy Laboratory. » Read More

News

storm lines 25 100 km

Researchers Catch Extreme Waves with High-Resolution Modeling

February 15, 2017

Using decades of global climate data generated at a spatial resolution of about 25 kilometers squared, Berkeley Lab researchers were able to capture the formation of tropical cyclones, also referred to as hurricanes and typhoons, and the extreme waves that they generate.

Screen Shot 2017 02 03 at 1.09.49 PM

Machine Learning Method Accurately Predicts Metallic Defects

February 3, 2017

For the first time, researchers at Berkeley Lab have built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. This method will accelerate research of new advanced alloys and lightweight new materials for applications spanning automotive to aerospace and much more.


mag breakv2

Simulations Reveal the Invisible Chaos of Superluminous Supernovae

February 1, 2017

To better understand the physical conditions that create superluminious supernova, astrophysicists are running 2D simulations of these events using supercomputers at NERSC and CRD developed CASTRO code.

India heat wave map fixed

Simulations Confirm Observations of 2015 India/Pakistan Heat Waves

December 15, 2016

A paper published December 15 during the American Geophysical Union (AGU) fall meeting in San Francisco points to new evidence of human influence on extreme weather events.