首页|Findings from Xi’an Jiaotong University in the Area of Machine Learning Reported (Mining Ionic Conductivity Descriptors of Antiperovskite Electrolytes for All-solid-state Batteries Via Machine Learning)
Findings from Xi’an Jiaotong University in the Area of Machine Learning Reported (Mining Ionic Conductivity Descriptors of Antiperovskite Electrolytes for All-solid-state Batteries Via Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Lithiumrichand sodium-rich antiperovskites (X3BA, X = Li, Na) have been explored as promising inorganicelectrolytes for all-solid-state batteries in recent years. To accelerate the design and discovery of high roomtemperature ionic conductivity antiperovskites, in this work, we apply the machine learning (ML) methodto mine material descriptors characterizing ionic conductivity directly.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine LearningXi’an Jiaotong University
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