JOURNAL ARTICLE

The synergetic modification on ionic conductivity and air stability of Ga3+ and Ta5+ co‐doped Li7La3Zr2O12 (LLZO).

  • Published In: Journal of the American Ceramic Society, 2025, v. 108, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yu, Run; Chen, Yongjin; Li, Chengyu; Wang, Shaojun; LI, PENGCHENG; Tang, Ruihan; Gao, Cong; Lin, Chuanlong; Gao, Xiang 3 of 3

Abstract

The garnet‐type oxide Li7La3Zr2O12 solid‐state electrolytes (SSEs) are considered as a reliable option in all‐solid‐state lithium batteries (ASSLBs) due to its excellent properties. However, it still faces challenges such as limited ionic conductivity and low air stability. In this work, Ga3+ and Ta5+ co‐doped samples Li7−3x−yGaxLa3Zr2−yTayO12 (GaxTay‐LLZO) synthesized via the solid‐state method are demonstrated to stabilize the cubic phase, regulate the concentration of Li vacancies in LLZO, and improving the Li+ transport channels. As a result, the Ga0.1Ta0.3‐LLZO sample achieves a high conductivity of ∼1 mS cm−1. Furthermore, we discovered that in addition to the previously reported effects of decreasing grain boundary density and the inert LiGaO2 secondary phase at grain boundaries, the synergistic effect of introducing multiple dopant ions, which enhances lattice stability, is also a key factor contributing to improved air stability. Our findings demonstrate that co‐doping strategy with Ga3+/Ta5+ is an effective method for simultaneously enhancing conductivity and air stability of LLZO, laying solid foundation for the application of SSEs in ASSLBs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the American Ceramic Society. 2025/08, Vol. 108, Issue 8, p1
  • Document Type:Article
  • Subject Area:Geology
  • Publication Date:2025
  • ISSN:0002-7820
  • DOI:10.1111/jace.20576
  • Accession Number:185660121
  • Copyright Statement:Copyright of Journal of the American Ceramic Society is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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