December 1 - 6, 2024
Boston, Massachusetts

Event Supporters

2024 MRS Fall Meeting & Exhibit
EN08.13.10

Unveiling Phase Formation Mechanisms in Over-Stoichiometric Rocksalt-Type Li Superionic Conductors

When and Where

Dec 6, 2024
3:45pm - 4:00pm
Hynes, Level 3, Ballroom C

Presenter(s)

Co-Author(s)

Yu Chen1,Xinye Zhao1,Gerbrand Ceder1

Lawrence Berkeley National Laboratory1

Abstract

Yu Chen1,Xinye Zhao1,Gerbrand Ceder1

Lawrence Berkeley National Laboratory1
Rationalizing synthetic pathways is crucial for material design and property optimization, especially for polymorphic and metastable phases. Over-stoichiometric rocksalt (ORX) compounds, characterized by their face-sharing configurations, are a promising group of materials with unique properties for energy storage application; however, their development is significantly hindered by challenges in synthesizability. Here, taking the recently identified Li superionic conductor, over-stoichiometric rocksalt Li–In–Sn–O (o-LISO) material as a prototypical ORX compound, we systematically investigate the mechanisms of phase formation. By combining ex situ and in situ synchrotron X-ray diffraction, solid-state NMR, TEM, and ab initio calculations, we reveal that the spinel-like phase with unconventional stoichiometry forms as coherent precipitates from the high-temperature-stabilized cation-disordered rocksalt phase. This process prevents direct phase decomposition and kinetically locks the system in a metastable state with desired face-sharing Li configurations. This insight enables us to further enhance the ionic conductivity of o-LISO to exceed 1 mS cm<sup>–1</sup> at room temperature via synthetic optimization. Our work offers valuable perspective on the rational synthesis of ORX materials and highlights important opportunities of unraveling synthesis mechanisms in complex material optimization.

Keywords

phase transformation

Symposium Organizers

Kelsey Hatzell, Vanderbilt University
Ying Shirley Meng, The University of Chicago
Daniel Steingart, Columbia University
Kang Xu, SES AI Corp

Session Chairs

Lauren Marbella

In this Session