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Chin. Phys. B, 2020, Vol. 29(3): 038202    DOI: 10.1088/1674-1056/ab7186
Special Issue: SPECIAL TOPIC — Advanced calculation & characterization of energy storage materials & devices at multiple scale
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Computational screening of doping schemes for LiTi2(PO4)3 as cathode coating materials

Yu-Qi Wang(王宇琦)1,2, Xiao-Rui Sun(孙晓瑞)1,2, Rui-Juan Xiao(肖睿娟)1,2, Li-Quan Chen(陈立泉)1,2
1 Beijing Advanced Innovation Center for Materials Genome Engineering, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100190, China
Abstract  In all-solid-state lithium batteries, the impedance at the cathode/electrolyte interface shows close relationship with the cycle performance. Cathode coatings are helpful to reduce the impedance and increase the stability at the interface effectively. LiTi2(PO4)3 (LTP), a fast ion conductor with high ionic conductivity approaching 10-3 S·cm-1, is adopted as the coating materials in this study. The crystal and electronic structures, as well as the Li+ ion migration properties are evaluated for LTP and its doped derivatives based on density functional theory (DFT) and bond valence (BV) method. Substituting part of Ti sites with element Mn, Fe, or Mg in LTP can improve the electronic conductivity of LTP while does not decrease its high ionic conductivity. In this way, the coating materials with both high ionic conductivities and electronic conductivities can be prepared for all-solid-state lithium batteries to improve the ion and electron transport properties at the interface.
Keywords:  lithium battery materials      high-throughput calculations      density functional theory      virtual screening  
Received:  29 November 2019      Revised:  15 January 2020      Published:  05 March 2020
PACS:  82.47.Aa (Lithium-ion batteries)  
  31.15.es (Applications of density-functional theory (e.g., to electronic structure and stability; defect formation; dielectric properties, susceptibilities; viscoelastic coefficients; Rydberg transition frequencies))  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 51772321), and the National Key R&D Program of China (Grant No. 2017YFB0701602), and the Youth Innovation Promotion Association, China (Grant No. 2016005). The Shanghai Supercomputer Center provided the computing resources.
Corresponding Authors:  Rui-Juan Xiao     E-mail:  rjxiao@iphy.ac.cn

Cite this article: 

Yu-Qi Wang(王宇琦), Xiao-Rui Sun(孙晓瑞), Rui-Juan Xiao(肖睿娟), Li-Quan Chen(陈立泉) Computational screening of doping schemes for LiTi2(PO4)3 as cathode coating materials 2020 Chin. Phys. B 29 038202

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