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Machine-learning-assisted design of a binary descriptor to decipher electronic and structural effects on sulfur reduction kinetics

Zhiyuan Han, Runhua Gao, Tianshuai Wang, Shengyu Tao, Yeyang Jia, Zhoujie Lao, Mengtian Zhang, Jiaqi Zhou, Chuang Li, Zhihong Piao, Xuan Zhang, Guangmin Zhou

2023Nature Catalysis319 citationsDOI

Topics & Concepts

Battery (electricity)CathodeCatalysisElectrolyteRational designGravimetric analysisSulfurLithium–sulfur batteryChemistryMaterials scienceChemical engineeringNanotechnologyThermodynamicsPhysical chemistryElectrodeOrganic chemistryEngineeringPower (physics)PhysicsAdvanced Battery Materials and TechnologiesAdvancements in Battery MaterialsMXene and MAX Phase Materials
Machine-learning-assisted design of a binary descriptor to decipher electronic and structural effects on sulfur reduction kinetics | Litcius