Preparing for exascale: Eliminating disruptions on the path to sustainable fusion energy

With the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.

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New version of Earth model captures detailed climate dynamics

DOE laboratories are collaborating on a new high-resolution Earth systems model to predict climate trends into the next century. The model will provide the scientific basis by which to mitigate the effects of extreme climate on energy and other essential services.

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AI technique does double duty spanning cosmic and subatomic scales

While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.

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