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A large-scale simulation method on complex ternary Li-Mn-O compounds for Li-ion battery cathode materials

机译:锂离子电池正极材料复杂三元Li-Mn-O化合物的大规模模拟方法

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To meet the requirement of large-scale simulation technics for Li-ion battery electrode materials, we introduce the charge-transfer modified embedded-atom method (CT-MEAM) in which the complex nature of the chemical bonding in transition metal (TM) oxides is described as a balance between metallic/covalent and ionic contributions by MEAM and a variable-charge model, respectively. The method is applied to Li2MnO3, and the parameterization is performed through fitting the energy-strain curves of Li2MnO3 under uniaxial, biaxial and hydrostatic strains to a training set from ab initio density-functional theory calculations. The CT-MEAM prediction of the critical physical properties such as charge states and redox potentials match quite well with the ab initio results in various Li-Mn-O compounds beyond Li2MnO3. The constructed Li-Mn-O phase diagram is also qualitatively consistent with the ab initio reference work. The excellent transferability ensures use of the present method for a wide range of oxidation states in complex ternary TM oxides. Therefore, it will facilitate large-scale atomistic calculations required for the optimal design of many TM oxide applications including lithium-ion battery cathode materials. (C) 2015 Elsevier B.V. All rights reserved.
机译:为了满足锂离子电池电极材料的大规模仿真技术的要求,我们引入了电荷转移修饰嵌入原子方法(CT-MEAM),该方法具有过渡金属(TM)氧化物中化学键的复杂性质分别用MEAM和可变电荷模型描述了金属/共价和离子贡献之间的平衡。该方法应用于Li2MnO3,并通过从头算密度函数理论计算将Li2MnO3在单轴,双轴和静水应变下的能量-应变曲线拟合到训练集上来进行参数化。关键的物理性质(例如电荷状态和氧化还原电势)的CT-MEAM预测与Li2MnO3以外的各种Li-Mn-O化合物的从头算结果非常吻合。构造的Li-Mn-O相图在质量上也与从头开始进行参考工作一致。优异的转移性确保了本方法可用于复杂三元TM氧化物中的多种氧化态。因此,它将有助于进行许多TM氧化物应用(包括锂离子电池正极材料)的优化设计所需的大规模原子计算。 (C)2015 Elsevier B.V.保留所有权利。

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