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Flexing crystalline structures provide path to a solid energy future: Machine learning approach opens insights into an entire class of materials being pursued for solid-state batteries

Researchers 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.
Olivier Delaire Mayanak Gupta Chinese Academy Of Science Shanghai Education Development Foundation Key Laboratory Of Artificial Structures Research Foundation

Flexing crystalline structures provide path t

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.
Xin Tong Siqi Lin Qingyong Ren Zhiwei Chen Zhenxiang Cheng Jie Ma

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