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May 23, 2023

Machine learning approach opens insights into an entire class of materials being pursued for solid-state batteries

Posted by in categories: robotics/AI, sustainability, transportation

A team of researchers at Duke University and their collaborators have uncovered the atomic mechanisms that make a class of compounds called argyrodites attractive candidates for both solid-state battery electrolytes and thermoelectric energy converters.

The discoveries—and the machine learning approach used to make them—could help usher in a new era of energy storage for applications such as household battery walls and fast-charging electric vehicles.

The results appeared online May 18 in the journal Nature Materials.

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