期刊
NANOMATERIALS
卷 12, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/nano12111832
关键词
DFT; Li-ion batteries; crystal; solid solutions; fingerprint
类别
资金
- European Union [814389]
- H2020 Societal Challenges Programme [814389] Funding Source: H2020 Societal Challenges Programme
The development of high-energy cathode materials with low content of critical raw materials is crucial for the progress of lithium-ion battery technology. A computational approach based on DFT has been used to determine the accurate properties of a novel family of lithium-rich sulfides, including their structures, electronic properties, and spectroscopic features.
The development of high-energy cathode materials for lithium-ion batteries with low content of critical raw materials, such as cobalt and nickel, plays a key role in the progress of lithium-ion batteries technology. In recent works, a novel and promising family of lithium-rich sulfides has received attention. Among the possible structures and arrangement, cubic disordered Li2TiS3 has shown interesting properties, also for the formulation of new cell for all-solid-state batteries. In this work, a computational approach based on DFT hybrid Hamiltonian, localized basis functions and the use of the periodic CRYSTAL code, has been set up. The main goal of the present study is to determine accurate structural, electronic, and spectroscopic properties for this class of materials. Li2TiS3 precursors as Li2S, TiS2, and TiS3 alongside other formulations and structures such as LiTiS2 and monoclinic Li2TiS3 have been selected as benchmark systems and used to build up a consistent and robust predictive scheme. Raman spectra, XRD patterns, electronic band structures, and density of states have been simulated and compared to available literature data. Disordered rock-salt type Li2TiS3 structures have been derived via a solid solution method as implemented into the CRYSTAL code. Representative structures were extensively characterized through the calculations of their electronic and vibrational properties. Furthermore, the correlation between structure and Raman fingerprint was established.
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