Machine learning prediction of the reversible capacities of a biomass-derived hard carbon anode for sodium-ion batteries
Stephen Yaw Owusu
Abstract
This work utilized machine learning (ML) modeling to predict and validate the reversible capacities of a biomass-derived hard carbon anode – a means to enhance the development of anodes for sustainable sodium-ion batteries.
Topics & Concepts
AnodeSodiumIonCarbon fibersBiomass (ecology)Materials scienceEngineering physicsEnvironmental scienceChemical engineeringComputer scienceNuclear engineeringChemistryEngineeringElectrodeMetallurgyComposite materialPhysical chemistryGeologyOrganic chemistryComposite numberOceanographyAdvancements in Battery MaterialsAdvanced Battery Technologies ResearchSupercapacitor Materials and Fabrication