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.
Visit the DOE Exhibit Booth #925
Scientific Visualizations
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Deep Transfer Learning at Scale for Cosmology
Scientific Visualizations -
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 LES
Scientific Visualizations -
Wavefield Simulation and 3D Object Reconstruction on the Giga-Pixel Scale
Scientific Visualizations -
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.
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.
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.