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.
Lin Lin Awarded 2017 SIAG/CSE Early Career Prize
Catching Extreme Waves with High-Resolution Modeling
Predicting Metallic Defects with Machine Learning
Invisible Chaos of Superluminous Supernovae
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.
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.