Elucidating the impact of metal doping in Li<sub>1.15</sub>(Ni<sub>0.35</sub>Mn<sub>0.65</sub>)<sub>0.85</sub>O<sub>2</sub> cathodes using high-throughput experiments and machine learning
Alex Hebert, Nooshin Zeinali Galabi, J. Michael Sieffert, Maxime Blangero, Eric McCalla
Abstract
To improve sustainable Li-ion cathodes, materials with high energy and low transition metal dissolution are needed. High-throughput experiments coupled to machine-learning are used to accelerate the design of Co-free Li-rich materials.
Topics & Concepts
CathodeDissolutionMaterials scienceDopingTransition metalThroughputSustainable energyNanotechnologyEngineering physicsOptoelectronicsPhysical chemistryComputer scienceChemistryElectrical engineeringPhysicsEngineeringTelecommunicationsRenewable energyCatalysisBiochemistryWirelessAdvancements in Battery MaterialsAdvanced Battery Technologies ResearchExtraction and Separation Processes