December 1 - 6, 2024
Boston, Massachusetts
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2024 MRS Fall Meeting & Exhibit
EN08.05.25

Elucidating Anisotropic Ionic Diffusion Mechanism in Li3YCl6 Using Molecular Dynamics Simulations

When and Where

Dec 3, 2024
8:00pm - 10:00pm
Hynes, Level 1, Hall A

Presenter(s)

Co-Author(s)

Yizhou Zhu1

Westlake University1

Abstract

Yizhou Zhu1

Westlake University1
Halide-based solid electrolyte has emerged as promising materials for the development of solid-state batteries, due to their high ionic conductivity and excellent chemical properties. Li<sub>3</sub>YCl<sub>6</sub> is a prototype halide-based superionic material that features anisotropic ionic diffusion. Elucidating the ionic transport and optimizing the conductivity in such anisotropic materials is crucial for enhancing the performance of solid-state batteries. In this work, by using molecular dynamics simulations with a machine learning force field, we systematically study the anisotropic ion diffusion behavior, including directional conductivity contribution, concerted migration, disorder-order transition in Li<sub>3</sub>YCl<sub>6</sub>. Our results prove that the fast <i>c</i>-direction is the major contributor to total diffusivity, especially under room temperature. The hcp anion arrangement leads to anisotropic diffusion mechanism. Lithium diffusion along the <i>c</i>-direction exhibit a highly concerted feature, which is absent in the <i>ab</i>-plane diffusion. A disorder-order transition of lithium sublattice can occur below a critical temperature. Our results show that the ordering occurs with a regular pattern of lithium ions. The lithium sublattice ordering is strongly influenced by yttrium cation arrangement and can be suppressed if a small amount of Li/Y anti-site defects are present. These understanding can help to provide guidance for the future development of anisotropic superionic materials.

Keywords

diffusion

Symposium Organizers

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

Session Chairs

Kelsey Hatzell
Ying Shirley Meng
Daniel Steingart
Kang Xu

In this Session