Machine-Learning Approaches for the Discovery of Electrolyte Materials for Solid-State Lithium Batteries

Machine-Learning Approaches for the Discovery of Electrolyte Materials for Solid-State Lithium Batteries

Solid-state lithium batteries have attracted considerable research attention for their potential advantages over conventional liquid electrolyte lithium batteries. The discovery of lithium solid-state electrolytes (SSEs) is still undergoing to solve the remaining challenges, and machine learning (ML...

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Bibliographic Details
Main Authors: Shengyi Hu, Chun Huang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Batteries
Subjects:
solid-state batteries
machine learning
solid-state electrolyte
materials discovery
Online Access:https://www.mdpi.com/2313-0105/9/4/228

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https://www.mdpi.com/2313-0105/9/4/228

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