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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 delaireMayanak guptaChinese academy of scienceShanghai education development foundationKey laboratory of artificial structuresResearch foundationShanghai municipal education commissionNational natural science foundation of chinaShuguang programBhabha atomic research centerInstitute of high energy physicsAustralia research councilUs national science foundationGuangdong basicApplied basic research foundationNational natural science 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 tongSiqi linQingyong renZhiwei chenZhenxiang chengJie maMin jinOlivier delaireKenji nakajimaJose alberto rodrOscar fabeloMayanak guptaYanzhong peiFengfeng zhuJianli wangMaiko kofu

Flexing Crystalline Structures Offer Solid Path to Energy Future

Flexing Crystalline Structures Offer Solid Path to Energy Future
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Xin tongJiangtao wuOscar fabeloJianli wangMaiko kofuFengfeng zhuMin jinZhiwei chenQingyong renMayanak guptaKenji nakajimaSiqi linMayanakk guptaMarcell wolfJie maOlivier delaire