Using machine learning-based methods to find the optimal material for sodium-ion batteries (IMAGE)
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Researchers utilized a machine learning-based strategy to explore and optimize the ratio of transition metals within multi-element materials for sodium-ion batteries. The model analyzes various compositional combinations and predicts the most promising candidates, reducing the need for extensive experimental testing and making the search for high-performance battery materials more time- and cost-effective.
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Shinichi Komaba from TUS, Japan
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