NERSC News

Berkeley Lab Scientists Create Machine Learning Pipeline for Interpreting Large Tomography Datasets
A group of Berkeley Lab scientists has developed and tested several machine learning techniques organized in a learning pipeline to improve the interpretation of increasingly large cryo-ET datasets. Read More »

Perlmutter Results Show Progress in Quantum Information Science
The [email protected] initiative at NERSC aims to support research in the space of quantum information science (QIS) conducted on the Perlmutter supercomputer, including quantum simulation of materials and chemical systems, algorithms for compilation of quantum circuits, error mitigation for quantum computing, and development of hybrid quantum/classical algorithms. The first phase of the project will come to an end this month, but has begun to bear fruit in the form of early science results and collaborations across the field. Read More »

New Search Method Expands Horizon in Hunt for New Polymer Electrolytes
Using computing resources at NERSC, researchers at MIT, in partnership with the Toyota Research Institute, have pioneered a new method for using machine learning to screen for new materials, yielding the largest dataset of polymer electrolytes ever seen in the field and signaling progress for the search for new materials generally. Read More »
Science

Berkeley Lab Works Toward a Connected Future for Science

WarpX Code Shines at the Exascale Level
NERSC Center

SC22 Student Cluster Competition Goes Hybrid with Chair Steve Leak

First-Ever Quantum for Science Day Brings HPC and QIS Together

NERSC Honors Early Career Researchers with 2022 Achievement Awards
