Hierarchical porous N/S-doped carbon with machine learning to predict advanced potassium-ion batteries
Ke Bi, Yue Wang, Guangyuan Zhou
Abstract
PIBs have promising prospects for next-generation energy storage. Machine learning and density functional theory calculations were both used to clarify the relationships between structural parameters and performances.
Topics & Concepts
Density functional theoryDopingPorosityIonCarbon fibersMaterials scienceEnergy storagePotassiumNanotechnologyChemical engineeringEngineering physicsComputer scienceChemistryThermodynamicsOptoelectronicsEngineeringComputational chemistryComposite materialPhysicsMetallurgyOrganic chemistryPower (physics)Composite numberAdvancements in Battery MaterialsAdvanced Battery Materials and TechnologiesAdvanced Battery Technologies Research