Optimizing Sodium-Ion Battery Composition through Machine Learning (VIDEO)
Caption
Scientists worldwide are exploring sodium-ion batteries (Na-ion batteries) as potential alternatives to the more expensive lithium-ion batteries, especially for sustainable applications such as electric vehicles and renewable energy generation. In a recent study published in the Journal of Materials Chemistry A, researchers from Japan utilized machine learning to predict the optimal composition of transition-metal layered oxides for the positive electrode of Na-ion batteries. Their approach demonstrated how artificial intelligence can significantly reduce the time, resources, and effort required for discovering new materials.
Credit
Professor Shinichi Komaba from Tokyo University of Science (TUS), Japan
Usage Restrictions
Cannot be used without permission
License
Original content