Today at Berkeley Lab

Joint JGI-NERSC-KBase Call for Biological Data Science Proposals; Sept. 24 Deadline

The Joint Genome Institute, NERSC, and KBase have issued a joint call for proposals in biological data science as part of the Facilities Integrating Capabilities for User Science (FICUS) initiative. The call aims to help users perform large-scale computational analyses of genomics and related omics data to solve problems relevant to the DOE missions in bioenergy and the environment. Proposals are due Sept. 24. More>

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Seeking Abstracts for Berkeley Lab’s First ML4Sci Workshop

ML4Sci, a new workshop on machine learning (ML) for science at Berkeley Lab, will take place Sept. 4-6. Lab scientists and affiliates are encouraged to submit abstracts on their relevant ML for science projects. The workshop will feature overviews of ML applications and provide hands-on training on NERSC systems. The deadline for abstract submissions is Aug. 20. Registration deadline for the workshop is Aug. 27. More>

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DOE Provides $10 Million for Earth System Model Development and Analysis

The money will fund the Energy Exascale Earth System Model (E3SM), which seeks to provide more accurate and higher-resolution representation of weather and climate events by taking advantage of the cutting-edge supercomputing facilities at DOE national labs, including NERSC at Berkeley Lab. More>

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Berkeley Lab Researchers Use Machine Learning to Search Science Data

A team of researchers from Berkeley Lab’s Computing Sciences Area and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via Science Search, a web-based search engine for scientific data that the Berkeley team is building. More>

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CRD, NERSC Staff Help Organize International Particle Tracking Competition

CRD and NERSC staff helped organize a new international physics challenge that will assist scientists searching for new particles in the flood of data generated by CERN’s Large Hadron Collider (LHC). The TrackML Particle Tracking Challenge asks scientists to build an algorithm that quickly reconstructs particle tracks from 3D points left in the silicon detectors at the LHC. More>

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Self-Healing Cement Could Be a Boon to Oil and Gas Industry

Researchers at Pacific Northwest National Laboratory have developed a unique cement that can repair itself in as little as a few hours, a technology that could have a dramatic impact on the cost of energy production. The researchers constructed a model that can simulate what occurs inside the cement/polymer system, and used it in a series of simulations at NERSC. More>

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Early Career LDRD Spotlight: Zach Marshall Searches for Supersymmetry

With funding from an Early Career Laboratory Directed Research and Development award announced last November, Zach Marshall of the Physics Division and his team are building a powerful super-scheduling platform that will help particle physicists from CERN to Daya Bay process more data faster without investing in costly new computing infrastructure. More>

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Quarterbacking Catalysts by Positioning Atoms

To create a winning football team, quarterbacks send their teammates to the right spots. In much the same way, scientists position catalytic atoms to drive reactions that can yield fuels and other products. Now a team using NERSC supercomputers has changed how researchers think about positioning oxygen atoms, which are vital to turning graphene into a unique catalytic support. More>

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Record-Setting Seismic Simulations Run on NERSC’s Cori System

The simulations, which mimic possible large-scale seismic activity in Southern California, were done using a new software system called EDGE (Extreme-Scale Discontinuous Galerkin Environment), a solver package for fused seismic simulations. The simulations were run on NERSC’s Cori supercomputer. More>

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Pattern Discovery Over Recognition: A New Way for Computers to See

Jim Crutchfield of UC Davis is designing new machine learning systems to allow supercomputers to spot large-scale atmospheric structures, such as hurricanes and atmospheric rivers, in climate data. He’s using NERSC’s CORI supercomputer, which is in the top five of the world’s fastest machines with over 600,000 CPU cores. More>

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