Exploration of dopants for enhancing the ionic conductivity of LiTa2PO8 by first-principles calculations

LiTa 2 PO 8 (LTPO) has recently attracted considerable attention as a promising oxide-based solid electrolyte for next-generation batteries. In this study, we systematically investigated twenty doped LTPO compositions using density functional theory and conducted ab initio molecular dynamics simulations for selected candidates—Ba-, La-, and Te-doped LTPO—predicted to exhibit enhanced ionic transport. Pristine LTPO shows a bulk ionic conductivity of 0.889 mS cm −1 , whereas La-LTPO and Te-LTPO exhibit substantially higher conductivities (4.42 and 5.04 mS cm −1 , respectively), accompanied by reduced activation energies. These improvements originate from enlarged unit cell volumes, increased Li–Li distance, and the cooperative activation of multiple diffusion channels. In contrast, Ba-doping introduces an additional a -axis migration pathway but suppresses intrinsic b/c -axis transport, resulting in a substantially lower ionic conductivity (0.028 mS cm −1 ). Overall, these findings elucidate how aliovalent doping can fundamentally reconfigure lithium-ion migration pathways, offering valuable insights for the rational optimization of oxide-based solid electrolytes. • Systematic DFT screening of 20 dopants for LiTa 2 PO 8 solid electrolytes. • La and Te doping markedly enhance Li-ion conductivity and lower activation energy. • Ba doping activates a-axis transport but suppresses intrinsic b/c-axis pathways. • AIMD reveals dopant-dependent restructuring of lithium migration networks. • Design rules proposed for optimizing oxide solid electrolytes via aliovalent doping.

Authors

Institutions

Publication Details

Journal
Journal of Power Sources
Published
2026-02-03
DOI
https://doi.org/10.1016/j.jpowsour.2026.239441
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of dopants for enhancing the ionic conductivity of LiTa2PO8 by first-principles calculations

Jiwon Sun, Kyoungmin Min, Ahhyun Jeong, Yerim Jung et al.
Journal of Power Sources
Advanced Battery Materials and Technologies
article

Exploration of dopants for enhancing the ionic conductivity of LiTa2PO8 by first-principles calculations

Jiwon Sun, Kyoungmin Min, Ahhyun Jeong, Yerim Jung, Taeseo Ko
article en

Abstract

LiTa 2 PO 8 (LTPO) has recently attracted considerable attention as a promising oxide-based solid electrolyte for next-generation batteries. In this study, we systematically investigated twenty doped LTPO compositions using density functional theory and conducted ab initio molecular dynamics simulations for selected candidates—Ba-, La-, and Te-doped LTPO—predicted to exhibit enhanced ionic transport. Pristine LTPO shows a bulk ionic conductivity of 0.889 mS cm −1 , whereas La-LTPO and Te-LTPO exhibit substantially higher conductivities (4.42 and 5.04 mS cm −1 , respectively), accompanied by reduced activation energies. These improvements originate from enlarged unit cell volumes, increased Li–Li distance, and the cooperative activation of multiple diffusion channels. In contrast, Ba-doping introduces an additional a -axis migration pathway but suppresses intrinsic b/c -axis transport, resulting in a substantially lower ionic conductivity (0.028 mS cm −1 ). Overall, these findings elucidate how aliovalent doping can fundamentally reconfigure lithium-ion migration pathways, offering valuable insights for the rational optimization of oxide-based solid electrolytes. • Systematic DFT screening of 20 dopants for LiTa 2 PO 8 solid electrolytes. • La and Te doping markedly enhance Li-ion conductivity and lower activation energy. • Ba doping activates a-axis transport but suppresses intrinsic b/c-axis pathways. • AIMD reveals dopant-dependent restructuring of lithium migration networks. • Design rules proposed for optimizing oxide solid electrolytes via aliovalent doping.

Journal of Power SourcesVol. 670
Northwestern University (US), Soongsil University (KR), Yonsei University (KR)
Reduced inequalities
Openalex Percentile: Top 70%
Advanced Battery Materials and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.