Understanding ionic transport in perovskite lithium-ion conductor Li3/8Sr7/16Ta3/4Hf1/4O3: a neutron diffraction and molecular dynamics simulation study

Danyi Sun, Nan Wu, Yeting Wen, Shichen Sun, Yufang He, Ke Huang, Cheng Li, Bin Ouyang, Ralph White, Kevin Huang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Solid-state Li-ion electrolytes (SSEs) are essential for the development of next-generation solid-state Li-metal batteries and new Li-extraction electrochemical cells. Among these, the perovskite-type SSE Li3/8Sr7/16Ta3/4Hf1/4O3 (LSTH) has garnered attention for Li-extraction applications, owing to its outstanding chemical and thermal stability and high ionic conductivity. However, its precise crystal structure and Li-ion transport mechanisms remain insufficiently understood. This study addresses these gaps by employing neutron diffraction to resolve LSTH's crystallography and machine learning force field (MLFF) based MD simulations to elucidate ionic transport mechanisms. A single-phase LSTH, synthesized via the sol-gel method, exhibits a room-temperature bulk conductivity of 0.418 mS cm−1 and a relative density of 98%. Neutron diffraction reveals 2.625 Li vacancies per unit cell, with the remaining 0.375 Li occupying the unconventional Wyckoff position (24k), different from the traditional A-site position (1a) of regular perovskites. This unique crystallography suggests a “zig-zag” Li-ion migration pathway via vacancies. However, MLFF based MD simulations suggest that Li ions at (24k), compared to (1a) occupancy, have limited mobility due to strong Li-vacancy ordering at low temperatures, leading to higher activation energy barriers and lower ionic conductivity. These findings underscore the critical influence of Li-site occupancy on ionic conductivity and provide structural insights for designing high-conductivity SSEs.

Original languageEnglish
Pages (from-to)10224-10231
Number of pages8
JournalJournal of Materials Chemistry A
Volume13
Issue number14
DOIs
StatePublished - Mar 4 2025

Funding

We acknowledge the South Carolina SmartState Center program for financial support. This research used resources at the Spallation Neutron Source (POWGEN, ITPS-31092), a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory. The Computational resources were provided by the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS), the National Energy Research Scientific Computing Center (NERSC), a DOE Office of Science User Facility supported by the Office of Science and the U.S. Department of Energy under contract no. DE-AC02-05CH11231 and the Research Computing Center (RCC) at Florida State University. Computation and data processing were also supported by the supercomputing resources from the Department of Energy's Office of Energy Efficiency and Renewable Energy at the National Renewable Energy Laboratory.

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