Disorder-Dependent Li Diffusion in Li<sub>6</sub>PS<sub>5</sub>Cl Investigated by Machine-Learning Potential-Reference-Cited by-同舟云学术

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Disorder-Dependent Li Diffusion in Li₆PS₅Cl Investigated by Machine-Learning Potential

Published:2024-08-26 Issue:35 Volume:16 Page:46442-46453
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Lee Jiho¹^ORCID,Ju Suyeon¹^ORCID,Hwang Seungwoo¹^ORCID,You Jinmu¹^ORCID,Jung Jisu¹^ORCID,Kang Youngho²^ORCID,Han Seungwu¹³^ORCID

Affiliation:

1. Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Korea

2. Department of Materials Science and Engineering, Incheon National University, Incheon 22012, Korea

3. Korea Institute for Advanced Study, Seoul 02455, Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c08865

Reference70 articles.

1. Designing solid-state electrolytes for safe, energy-dense batteries

2. Fundamentals of inorganic solid-state electrolytes for batteries

3. Lithium battery chemistries enabled by solid-state electrolytes

4. Promises, Challenges, and Recent Progress of Inorganic Solid-State Electrolytes for All-Solid-State Lithium Batteries

5. Stable Ni-rich layered oxide cathode for sulfide-based all-solid-state lithium battery

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