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The factors change over time – from decay driven by the properties of individual electrode particles to how those particles are put together.

Argonne’s software learns from smaller datasets by combining multiple machine learning algorithms and using an AI technique called active learning.

DOE Funding Will Support Growing Electric Vehicle and Energy Storage Demands Through Increased Battery Manufacturing, Processing, and Recycling

Students Will Perform Research at National Laboratories

Researchers at Argonne and partner institutions point to the significant implications of ​“aggregates” for future battery performance.

Collaborators designed magnets with straighter sections that can still confine plasma by using the mathematical technique, “spline representation.”

The development is an example of U.S. investment in joint quantum technology research with partnerships between industry, academia, and government.

New materials with exotic magnetic features could enable the next generation of tiny, fast electronic devices.

KESER constructs a low dimensional vector representation of each medical code, attributes importance and maps attributed relationships as a network.

A chemical reaction that causes concrete to crack and deteriorate can now be identified without harm, according to Argonne scientists.