The National Institute for Materials Science (NIMS) and SoftBank Corp. have jointly developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The work is published in the journal Advanced Science.
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Model uses machine learning to predict cycle lives of high-energy-density lithium-metal batteries
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