Tackling Structural Complexity in Li<sub>2</sub>S-P<sub>2</sub>S<sub>5</sub> Solid-State Electrolytes Using Machine Learning Potentials

Tackling Structural Complexity in Li<sub>2</sub>S-P<sub>2</sub>S<sub>5</sub> Solid-State Electrolytes Using Machine Learning Potentials

The lithium thiophosphate (LPS) material class provides promising candidates for solid-state electrolytes (SSEs) in lithium ion batteries due to high lithium ion conductivities, non-critical elements, and low material cost. LPS materials are characterized by complex thiophosphate microchemistry and...

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Bibliographic Details
Main Authors: Carsten G. Staacke, Tabea Huss, Johannes T. Margraf, Karsten Reuter, Christoph Scheurer
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Nanomaterials
Subjects:
machine learning
amorphous
Li-ion battery
high ionic conductivity solid electrolyte
Online Access:https://www.mdpi.com/2079-4991/12/17/2950

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https://www.mdpi.com/2079-4991/12/17/2950

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