May 23, 2023
Machine learning approach opens insights into an entire class of materials being pursued for solid-state batteries
Posted by Shailesh Prasad 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.