Machine-learning assisted high-throughput discovery of solid-state electrolytes for Li-ion batteries
Xingyu Guo, Zhenbin Wang, Ji‐Hui Yang, Xin-Gao Gong
Abstract
The integration of machine learning with high-throughput computation accelerates the precise prediction of novel battery materials.
Topics & Concepts
ThroughputComputer scienceElectrolyteSolid-stateMaterials scienceNanotechnologyChemistryEngineering physicsElectrodeEngineeringTelecommunicationsWirelessPhysical chemistryMachine Learning in Materials ScienceAdvanced Battery Technologies Research