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Academic Journal of Materials & Chemistry, 2024, 5(2); doi: 10.25236/AJMC.2024.050204.

Transformation of Lithium Battery Material Design and Optimization Based on Artificial Intelligence


Gao Feng

Corresponding Author:
Gao Feng

School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China


This paper explores the methods of lithium battery material design and optimization based on artificial intelligence. Firstly, the current research status and challenges of lithium battery materials are introduced, followed by a discussion on the advantages of artificial intelligence in material design and optimization and specific algorithms. The paper then describes the process of lithium battery material design based on artificial intelligence, including material characteristics, data processing, algorithm selection, and result analysis. Furthermore, optimization methods for lithium battery materials and performance evaluation are discussed, along with exploration of future research directions. Through this study, new ideas and methods are provided for the design and optimization of lithium battery materials.


Artificial Intelligence, Lithium Battery, Material Design, Optimization, Algorithm

Cite This Paper

Gao Feng. Transformation of Lithium Battery Material Design and Optimization Based on Artificial Intelligence. Academic Journal of Materials & Chemistry (2024) Vol. 5, Issue 2: 18-22. https://doi.org/10.25236/AJMC.2024.050204.


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