Machine learning model trained by experimental data to predict the promising composition of transition metal layered oxides for sodium-ion battery development (IMAGE)

Tokyo University of Science

Machine learning model trained by experimental data to predict the promising composition of transition metal layered oxides for sodium-ion battery development

Caption

The proposed machine learning-based approach to explore and optimize the ratio of transition metals offers an efficient method to identify promising compositions among a wide range of potential candidates, potentially speeding up the development of sodium-ion batteries.

Credit

Shinichi Komaba from TUS, Japan

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CC BY-NC

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