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.
Catching Extreme Waves with High-Resolution Modeling
Predicting Metallic Defects with Machine Learning
Invisible Chaos of Superluminous Supernovae
Berkeley Lab to Lead AMR Co-Design Center
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.
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.
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.