A machine learning approach provides new insights into the class of materials that are being sought for solid-state battery technology
Researchers at Duke University, along with their collaborators, have discovered the atomic mechanisms behind the attractiveness of a class called argyrodites as solid-state batteries and thermoelectric energy convertors.
The findings, and the machine-learning approach that was used to make them, could help usher in an era of energy-storage for applications like household battery walls or fast-charging electrical vehicles.
Nature Materials published the results online on May 18.
Source:
https://phys.org/news/2023-05-machine-approach-insights-entire-class.html
