Argonne’s new menu of data storage software helps scientists realize findings earlier

A research team, led by Argonne, is developing a new data navigation system called Mochi that will provide scientists with a menu of data services they can rapidly combine and customize to suit the particular needs of a specific science domain.

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U.S. Department of Energy’s INCITE program seeks proposals for 2021

The INCITE program is now seeking proposals for high-impact, computationally intensive research projects that require the power and scale of DOE’s leadership-class supercomputers.

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Capturing 3D microstructures in real time

Argonne researchers have invented a machine-learning based algorithm for quantitatively characterizing material microstructure in three dimensions and in real time. This algorithm applies to most structural materials of interest to industry.

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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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Argonne researchers to share scientific computing insights at SC19

Several Argonne researchers will attend the Supercomputing 2019 (SC19) conference to share scientific computing advances and insights with an eye toward the upcoming exascale era.

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