Nano Research · 2023 · 29 citations · 49 references
Natural SciencesMaterials EngineeringMaterials ScienceInorganic ChemistryMaterials ChemistrySurface ScienceBattery Cell ChemistryBattery MaterialsBattery TechnologyCrystal ChemistryElectrochemical CellsNanomaterials For Energy StorageLithium Intercalation CompoundsLithium-ion Battery ChemistryLithium-ion Battery Electrodes Based On Metal OxidesLithium-ion Battery MaterialsNanostructured Battery MaterialsSolid-electrolyte Interphase Formation
LiNi 0.5 Mn 1.5 O 4 (LNMO) with a spinel crystal structure presents a compelling avenue towards the development of economic cobalt-free and high voltage (∼ 5 V) lithium-ion batteries. Nevertheless, the elevated operational voltage of LNMO gives rise to pronounced interfacial interactions between the distorted surface lattices characterized by Jahn–Teller (J–T) distortions and the electrolyte constituents. Herein, a localized crystallized coherent LaNiO 3 and surface passivated Li 3 PO 4 layer is deposited on LNMO via a one-step calcination process. As evidenced by transmission electron microscopy (TEM), time-of-flight secondary ion mass spectrometry (ToF-SIMS) and density functional theory (DFT) calculation, the epitaxial growth of LaNiO 3 along the LNMO lattice can effectively stabilize the structure and inhibit irreversible phase transitions, and the Li 3 PO 4 surface coating can prevent the chemical reaction between HF and transition metals without sacrificing the electrochemical activity. In addition, the ionic conductive Li 3 PO 4 and atomic wetting inter-layer enables fast charge transfer transport property. Consequently, the LNMO material enabled by the lattice bonding and surface passivating features, demonstrates high performance at high current densities and good capacity retention during long-term test. The rational design of interface coherent engineering and surface coating layers of the LNMO cathode material offers a new perspective for the practical application of high-voltage lithium-ion batteries.
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Generalized Gradient Approximation Made Simple
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