The DOE’s National Laboratories will showcase their impactful research at SC19

Visit the DOE Exhibit Booth #925

The U.S. Department of Energy (DOE) is the nation’s leading provider of high-performance computing resources for science. Researchers from industry, academia, and government agencies use DOE supercomputing resources to tackle some of the world’s largest and most complex problems in science and engineering.

Scientific Visualizations

  • Deep Transfer Learning at Scale for Cosmology

    Deep Transfer Learning at Scale for Cosmology

    Scientific Visualizations
  • Early Supernova Explosion Phase of a 16-Solar-Mass Star

    The Early Supernova Explosion Phase of a 16-Solar-Mass Star

    Scientific Visualizations
  • Prediction of Maximum Lift on the JAXA Standard Model Using Wall Modeled Large-Eddy Simulation

    Prediction of Maximum Lift on the JAXA Standard Model Using Wall Modeled LES

    Scientific Visualizations
  • Wavefield Simulation and 3D Object Reconstruction

    Wavefield Simulation and 3D Object Reconstruction on the Giga-Pixel Scale

    Scientific Visualizations
  • Magnetorotational Stellar Core Collapse and Supernovae

    Magnetorotational Stellar Core Collapse and Supernovae

    Scientific Visualizations

Featured Activities

DOE Booth Talk: Scientific Domain-Informed Machine Learning

At a featured talk at the DOE booth, Argonne computer scientist Prasanna Balaprakash will discuss how the laboratory’s pivotal research in machine learning is enabling data-driven discoveries across a wide variety of scientific domains.

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Deep Learning on Supercomputers

Argonne scientists will have a strong presence at the Deep Learning on Supercomputers workshop. Co-chaired by Argonne’s Ian Foster, the workshop provides a forum for researchers working at the intersection of deep learning and HPC.

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In-Situ Analysis for Extreme-Scale Cosmological Simulations

Argonne physicist and computational scientist Katrin Heitmann will deliver the keynote talk at the In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2019) workshop.

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