journal article·2016-02

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

Fantai Kong, Hengji Zhang, Roberto C. Longo, Byeongchan Lee, Dong-Hee Yeon, Jaegu Yoon, Jin-Hwan Park, Seok-Gwang Doo, Kyeongjae Cho

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Abstract

Abstract 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 Li 2 MnO 3 , and the parameterization is performed through fitting the energy–strain curves of Li 2 MnO 3 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 Li 2 MnO 3 . 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.
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OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Machine Learning in Materials Science

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