Work

Atomic insight into Li + ion transport in amorphous electrolytes Li x AlO y Cl 3+ x −2 y (0.5 ≤ x ≤ 1.5, 0.25 ≤ y ≤ 0.75)

Year: 2024

Type: article

Abstract: We use ab initio molecular dynamics (AIMD) and machine learning interatomic potential based molecular dynamics (MLIP-based MD) simulations to explore the structure and ion transport characteristics of amorphous Li–Al–O–Cl solid-state electrolytes.

Source: Journal of Materials Chemistry A

DOI: 10.1039/d4ta06234e

Authors: Qifan Yang, Jing Xu, Xiao Fu, Jingchen Lian, Liqi Wang, Xuhe Gong, Ruijuan Xiao, Hong Li

Institutions: Chinese Academy of Sciences, Institute of Physics, University of Chinese Academy of Sciences, Beihang University

Language: English

Topic: Advanced Battery Materials and Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Oak Ridge Institute for Science and Education

Awards: G2733561967, G6877347164

OpenAlex ID: W4404773115

FWCI: 0.833

Cites: 34

Cited by: 8

Related to: 10