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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. Read More »
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.
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