收藏切换
Boosting Ionic Transport Performance through Correlated Migration: A Case Study of Titanite-Type LiTaSiO5
收藏切换
Shen LI1, Zheyi ZOU1, Bing HE2, Siqi SHI3, 4
Journal of the Chinese Ceramic Society | 2025, 53(7) : 1929 - 1937
Less
收藏切换
Journal of the Chinese Ceramic Society | 2025, 53(7): 1929-1937
• Research Article •
Boosting Ionic Transport Performance through Correlated Migration: A Case Study of Titanite-Type LiTaSiO5
Full
Shen LI1, Zheyi ZOU1, Bing HE2, Siqi SHI3, 4
Affiliations
  • 1.School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
  • 2.School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China
  • 3.State Key Laboratory of Materials for Advanced Nuclear Energy & School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
  • 4.Materials Genome Institute, Shanghai University, Shanghai 200444, China
  • LI Shen (1999-), male, Master candidate. E-mail:

About Author:

LI Shen (1999-), male, Master candidate. E-mail:

Published: 2025-07-20 doi: 10.14062/j.issn.0454-5648.20250350
Outline
收藏切换
Introduction

Solid-state lithium batteries are regarded as a promising alternative to traditional lithium-ion batteries due to their high energy density and safety. The development of solid electrolytes with high ionic conductivity is key to their application. The lithium-ion transport mechanisms in solid electrolytes can be categorized into single-ion migration and multi-ion correlated migration. Generally, multi-ion correlated migration can significantly reduce energy barriers compared to single-ion migration, making the promotion of correlated migration a crucial principle in designing solid electrolyte materials with high ionic conductivity. Titanite-type LiTaSiO5 is a new oxide solid electrolyte, in which Zr4+ doping at Ta5+ site introduces excess lithium ions, facilitating correlated migration and significantly improving ionic conductivity. However, the relationship between lithium-ion distribution, correlated migration, and ionic transport properties still require in-depth investigation. In this study, ab initio molecular dynamics (AIMD) simulations were employed to investigate the possible Li sites and migration channels in the monoclinic titanite-type Li1+xTa1-xZrxSiO5(x = 0, 0.125) systems. The relationships between lithium-ion distribution, the degree of correlated migration, and ionic transport properties were also elucidated.

Methods

AIMD simulations were performed using the Vienna ab initio simulation package (VASP) with the plane wave projector augmented (PAW) method and the Perdew-Burke-Ernzerhof (PBE) exchange-correlation functional. For the pristine LiTaSiO5 (ICSD No. 39648, space group P21/c), a 2×2×2 supercell was constructed, containing 32 formula units (256 atoms total). For the Zr-doped system, four Ta5+ were substituted with Zr4+, with four additional Li+ ions incorporated to maintain charge neutrality. AIMD simulations were carried out for the canonical (NVT) ensemble using a Nosé-Hoover thermostat at four elevated temperatures (800, 1000, 1200, and 1400 K) with a time step of 2 fs. To enhance computational efficiency, the plane-wave basis set was determined with a cutoff energy of 400 eV and integration in reciprocal space was performed at the Γ-point only. All the structures were heated from 100 K to targeted temperatures by velocity scaling over 2 ps, and then equilibrated at the desired temperature for 20 ps. The analysis of possible Li sites, jump events, and diffusion properties based on AIMD data was performed using our in-house developed code, which is integrated into our group's computational platform for electrochemical energy storage materials design (bmaterials.cn).

Results and discussion

The framework structure of the monoclinic titanite-type LiTaSiO5 consists of SiO4 tetrahedra and TaO6 octahedra. Through crystal structure analysis, we identified 11 distinct interstitial sites (It1-Itl1), where the It1 site corresponds to the Li1 lattice site while It2 and It3 sites align with two previously reported potential interstitial sites. Lithium ion migration exhibits strong preference for specific channels. At 800 K, 81.8% of jumps occur along the It2-Li1/It4-It7-It3-It7-Li1/It4-It2 channel ([101] direction) through elementary channels (Li1-It2, Li1-It7, It2-It4, It3-It7 and It4-It7), clearly identifying this as the optimal long-range migration channel. The non-unity occupation probabilities at all sites indicate Li+ disorder, with primary Li+ distribution at Li1, It2, It3, It4, and It7 sites. Previous studies confirm that Li1 is the lowest-energy stable site, while It2 and It3 serve as saddle points in the energy landscape. Zr doping significantly alters the Li+ distribution by increasing the Li+ concentration and promoting occupation of higher-energy sites. At 800 K, Li1 occupancy decreases from 41.8% to 33.1%, while It2 and It3 occupancies increase dramatically from 7.2% to 27.9% and from 7.4% to 24.3%, respectively. This redistribution, accompanied by increased configurational entropy, enhanced Li+ disorder and promotes low-energy-barrier correlated migration. As a result, the correlated migration percentage increases, the overall activation energy decreases, and the Li+ diffusion coefficient improves significantly.

Conclusions

The main conclusions of this study are summarized as following. The LiTaSiO5 unit cell contains 11 distinct types of interstitial sites and shows anisotropic lithium-ion transport along the [101] direction through the It2-Li1/It4-It7-It3-It7-Li1/It4-It2 channel. After Zr doping, the lithium-ion concentration increases, leading to higher occupancy of lithium ions at high-energy sites (It2/It3), more disordered lithium-ion distribution, and an increase configurational entropy. This Li distribution enhances the probability of low-energy-barrier correlated migration, resulting in a higher correlated migration percentage, reduced overall activation energy, and significantly improved ionic transport performance.

The methodologies employed in this study are applicable to inorganic crystalline solid electrolytes with stable framework structures, which have been successfully applied in previous studies to several representative lithium/sodium solid electrolytes, such as LiTa2PO8 and Na3Zr2Si2PO12. However, these methods rely on the framework ions to identify the positions of lithium ions during the migration processes, making them unsuitable for certain specific solid electrolyte systems, such as amorphous solid electrolytes or those exhibiting the polyanion rotation effect.

oxide solid electrolyte  /  configurational entropy  /  correlated migration  /  molecular dynamics
李燊, 邹喆乂, 何冰, 施思齐. 协同输运增强离子输运性能:以榍石型硅酸钽锂为例. 硅酸盐学报, 2025 , 53 (7) : 1929 -1937 . DOI: 10.14062/j.issn.0454-5648.20250350
Shen LI, Zheyi ZOU, Bing HE, Siqi SHI. Boosting Ionic Transport Performance through Correlated Migration: A Case Study of Titanite-Type LiTaSiO5[J]. Journal of the Chinese Ceramic Society, 2025 , 53 (7) : 1929 -1937 . DOI: 10.14062/j.issn.0454-5648.20250350
Year 2025 volume 53 Issue 7
16
5
Cite this Article
BibTeX
Article Info
doi: 10.14062/j.issn.0454-5648.20250350
  • Receive Date:2025-04-30
  • Online Date:2026-10-21
  • Published:2025-07-20
Article Data
Affiliations
History
  • Received:2025-04-30
  • Revised:2025-05-15
Funding
Affiliations
    1.School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
    2.School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China
    3.State Key Laboratory of Materials for Advanced Nuclear Energy & School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
    4.Materials Genome Institute, Shanghai University, Shanghai 200444, China

Corresponding:

ZOU Zheyi (1990-), male, Ph.D. E-mail: ;
SHI Siqi (1978-), male, Ph.D, Professor.
References
Share
https://castjournals.cast.org.cn/joweb/gsyxb/EN/10.14062/j.issn.0454-5648.20250350
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT