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Predicting accurate cathode properties of layered oxide materials using the SCAN meta-GGA density functional 被引量:5
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作者 Arup Chakraborty Mudit Dixit +1 位作者 Doron Aurbach dan t.major 《npj Computational Materials》 SCIE EI 2018年第1期162-170,共9页
Layered lithium intercalating transition metal oxides are promising cathode materials for Li-ion batteries.Here,we scrutinize the recently developed strongly constrained and appropriately normed(SCAN)density functiona... Layered lithium intercalating transition metal oxides are promising cathode materials for Li-ion batteries.Here,we scrutinize the recently developed strongly constrained and appropriately normed(SCAN)density functional method to study structural,magnetic,and electrochemical properties of prototype cathode materials LiNiO_(2),LiCoO_(2),and LiMnO_(2) at different Li-intercalation limits.We show that SCAN outperforms earlier popular functional combinations,providing results in considerably better agreement with experiment without the use of Hubbard parameters,and dispersion corrections are found to have a small effect.In particular,SCAN fares better than Perdew–Burke–Ernzerhof(PBE)functional for the prediction of band-gaps and absolute voltages,better than PBE+U for the electronic density of states and voltage profiles,and better than both PBE and PBE+U for electron densities and in operando lattice parameters.This overall better performance of SCAN may be ascribed to improved treatment of localized states and a better description of short-range dispersion interactions. 展开更多
关键词 DISPERSION PROPERTIES CORRECTION
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