Data-driven selection of electrolyte additives for aqueous magnesium batteries
Tim Würger, Linqian Wang, Darya Snihirova, Min Deng, Sviatlana V. Lamaka, David A. Winkler, Daniel Höche, Mikhail L. Zheludkevich, Robert H. Meißner, Christian Feiler
Abstract
Data-driven quantitative structure–property relationship models facilitate the selection of potent electrolyte additives for aqueous magnesium batteries in an active design of experiments approach.
Topics & Concepts
ElectrolyteMagnesiumAqueous solutionSelection (genetic algorithm)Materials scienceEnvironmental scienceChemical engineeringChemistryInorganic chemistryComputer scienceMetallurgyEngineeringOrganic chemistryElectrodeArtificial intelligencePhysical chemistryMachine Learning in Materials ScienceAdvancements in Battery MaterialsAdvanced Battery Materials and Technologies