With help from Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications (CAMERA), the Advanced Light Source's new COSMIC (Coherent Scattering and Microscopy) beamline is specialized for studies of active chemistry and electronic properties at tiny scales.
COSMIC Impact: A Next-Gen X-ray Microscopy Platform
Metagenomic Clustering Powered by Supercomputers
A Novel Power Grid Cybersecurity Tool
Hunting for Strongly Lensed Type Ia Supernovae
“Minimalist Machine Learning” Algorithms
A team of researchers from Berkeley Lab's CRD and JGI took one of the most popular clustering approaches in modern biology—the Markov Clustering algorithm—and modified it to run quickly, efficiently and at scale on distributed-memory supercomputers.
An R&D project led by Berkeley Lab researchers that combines cybersecurity, machine learning algorithms and commercially available power system sensor technology to better protect the electric power grid has sparked interest from U.S. utilities, power companies and government officials.
Using the SciDAC developed SEDONA code and NERSC supercomputers, astrophysicists at Berkeley Lab and the University of Portsmouth discovered how to control the effects of "micolensing." Armed with this knowledge they believe they will be able to find 1000 strongly lensed Type Ia supernovae in real-time from LSST data--that's 20 times more than previous expectations.