Materials descriptors of machine learning to boost development of lithium-ion batteries

Materials descriptors of machine learning to boost development of lithium-ion batteries

Abstract Traditional methods for developing new materials are no longer sufficient to meet the needs of the human energy transition. Machine learning (ML) artificial intelligence (AI) and advancements have caused materials scientists to realize that using AI/ML to accelerate the development of new m...

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Bibliographic Details
Main Authors: Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Nano Convergence
Subjects:
Machine learning
Lithium-ion battery material descriptors
Novel material development
Artificial intelligence
Lithium battery development tools
Online Access:https://doi.org/10.1186/s40580-024-00417-6

Internet

https://doi.org/10.1186/s40580-024-00417-6

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