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Lin Lin Awarded 2017 SIAG/CSE Early Career Prize

Lin Lin CRD HP

CRD's Lin Lin has ben honored with a 2017 SIAM Activity Group on Computational Science and Engineering Early Career Prize. The honor is bestowed to one outstanding early career researcher that has made distinguished contributions to the field within seven years of receiving a Ph.D. » Read More

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

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Berkeley’s Lin Lin Awarded 2017 SIAG/CSE Early Career Prize

February 24, 2017

Berkeley Lab’s Lin Lin has ben honored with a 2017 SIAM Activity Group on Computational Science and Engineering Early Career Prize. The honor is bestowed to one outstanding early career researcher that has made distinguished contributions to the field within seven years of receiving a Ph.D.

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.


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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.